The record

Every value, including the ones that were withdrawn.

titleidstatusverdictvalue
MoSeq produced 42 distinct syllablesclaim.decisions.syllables_42retracted42
MoSeq emits 48 distinct syllables, not 42claim.decisions.syllables_48live48
A flow-field estimator exists, and produced no result artifactsclaim.flowfield.existsunverified
No n-gram survives on the nonparametric armclaim.grammar.nonparam_zerolive0
MoSeq carries 17.6% of frames in artifact-enriched syllablesclaim.inventory.contamination_176_livesuperseded0.176
12 syllables covering 2.82% of frames are tracker-drivenclaim.inventory.contamination_282live0.0282
Dwell shape is retracted on the MoSeq labellerclaim.inventory.dwell_retractedlive
73% of the day-0 distance is two-sessions-differclaim.journeys.baseline_73live0.7798
Within-(animal, day) context contrast = +0.1067claim.journeys.contrast_1067provisional0.1067
On bout rate the context contrast is +0.0245 and crosses zeroclaim.journeys.contrast_bout_0245live0.0245
A stickiness prior manufactures the evidence for discrete statesclaim.methods.dwell_retractionlive
1,491 of 1,585 n-grams survive FDR on the corpusclaim.methods.grammar_corpus_1491provisional1491
White noise returns 21 of 69 n-grams surviving the same FDR testclaim.methods.grammar_white_21live21
White noise returns the largest median effect of any armclaim.methods.grammar_white_effectlive0.893
flow_field has no implementation and is dropped from the bakeoffclaim.models.flow_field_absentsuperseded
I_pred = 0.437 nats at beta = 0.003 (stored)claim.pi.beta0003_437superseded0.437
I_pred = 0.458 nats at beta = 0.003claim.pi.beta0003_458live0.458
I_pred = 0.397 nats at beta = 0claim.pi.beta0_397live0.397
I_pred = 0.487 nats at beta = 0claim.pi.beta0_487superseded0.487
57% of the day-0 journey scalar is baseline noiseclaim.progress.baseline_57superseded0.57
MoSeq carries 17.6% of frames in artifact-enriched syllablesclaim.progress.contamination_176superseded0.176
Within-(animal, day) context contrast = +0.1936claim.progress.contrast_1936superseded0.1936
Dwell departs from geometric in 298 of 298 animalsclaim.progress.dwell_298retracted298
1,553 of 1,638 n-grams survive FDRclaim.progress.grammar_1553superseded1553
Batch-1 forced choice: 0.431, clustered CI [0.320, 0.546]claim.ratings.b1_clusteredlive0.43137254901960786
The median rendered label loses 9.5% of its frames to tracker flagsclaim.render.flag_median_95unverified0.095
Frame mass is a low-pass filter on movementclaim.render.frozen_7_of_12live
Tracker load is not spread evenly across motifsclaim.render.motif_flag_spreadprovisional
Coherence crossover f_c = 3.572 Hzclaim.shapeflow.fc_3572superseded3.572
Coherence crossover f_c = 4.83 Hz, not 3.572 Hzclaim.shapeflow.fc_4830live4.83
exbias exbias_001: 0 states, noise fraction 1.0exbias.exbias_001.n_stateslive0
exbias exbias_002: 0 states, noise fraction 1.0exbias.exbias_002.n_stateslive0
run_manifestexbias.runs/exbias_001/run_manifestunverified
run_manifestexbias.runs/exbias_002/run_manifestunverified
MoSeq fit 2026_07_16-12_47_43: kappa 1000000.0moseq.2026_07_16-12_47_43.fitlive1000000.0
MoSeq fit 2026_07_26-19_54_24: kappa 1000000.0moseq.2026_07_26-19_54_24.fitlive1000000.0
MoSeq fit recur_fit_seed0: kappa 1000000.0moseq.recur_fit_seed0.fitlive1000000.0
MoSeq fit recur_fit_seed1: kappa 1000000.0moseq.recur_fit_seed1.fitlive1000000.0
MoSeq fit recur_fit_seed2: kappa 1000000.0moseq.recur_fit_seed2.fitlive1000000.0
MoSeq fit seed1: kappa 1000000.0moseq.seed1.fitlive1000000.0
MoSeq fit seed2: kappa 1000000.0moseq.seed2.fitlive1000000.0
Coverage at alpha = 0.0 against ar_wienerrecur.alpha.ar_wiener.baselineliveNOT_A_RESULT0.1398611799281168
Coverage at alpha = 1e-09 against ar_wienerrecur.alpha.ar_wiener.cell00liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 1e-07 against ar_wienerrecur.alpha.ar_wiener.cell01liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 1e-05 against ar_wienerrecur.alpha.ar_wiener.cell02liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 0.001 against ar_wienerrecur.alpha.ar_wiener.cell03liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 0.01 against ar_wienerrecur.alpha.ar_wiener.cell04liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 0.0 against microstate_wiener_N500k1recur.alpha.microstate.baselinelivePASS0.1398611799281168
Coverage at alpha = 1e-06 against microstate_wiener_N500k1recur.alpha.microstate.cell00livePASS0.6381583029048726
Coverage at alpha = 1e-05 against microstate_wiener_N500k1recur.alpha.microstate.cell01livePASS0.6974170545530327
Coverage at alpha = 0.0001 against microstate_wiener_N500k1recur.alpha.microstate.cell02livePASS0.7597688476228898
Coverage at alpha = 0.001 against microstate_wiener_N500k1recur.alpha.microstate.cell03livePASS0.8151880017475407
Coverage at alpha = 0.01 against microstate_wiener_N500k1recur.alpha.microstate.cell04livePASS0.8510863017511773
Coverage at alpha = 0.05 against microstate_wiener_N500k1recur.alpha.microstate.cell05livePASS0.8668237401619763
Coverage at alpha = 0.0 against ou_wienerrecur.alpha.ou.baselineliveNOT_A_RESULT0.1398611799281168
Coverage at alpha = 1e-09 against ou_wienerrecur.alpha.ou.cell00liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 1e-07 against ou_wienerrecur.alpha.ou.cell01liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 1e-06 against ou_wienerrecur.alpha.ou.cell02liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 1e-05 against ou_wienerrecur.alpha.ou.cell03liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 0.0001 against ou_wienerrecur.alpha.ou.cell04liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 0.001 against ou_wienerrecur.alpha.ou.cell05liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 0.01 against ou_wienerrecur.alpha.ou.cell06liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 0.05 against ou_wienerrecur.alpha.ou.cell07liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 0.0 against phase_wienerrecur.alpha.phase_wiener.baselineliveNOT_A_RESULT0.1398611799281168
Coverage at alpha = 1e-09 against phase_wienerrecur.alpha.phase_wiener.cell00liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 1e-07 against phase_wienerrecur.alpha.phase_wiener.cell01liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 1e-05 against phase_wienerrecur.alpha.phase_wiener.cell02liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 0.001 against phase_wienerrecur.alpha.phase_wiener.cell03liveNOT_A_RESULT0.8938724652262086
Coverage at alpha = 0.01 against phase_wienerrecur.alpha.phase_wiener.cell04liveNOT_A_RESULT0.8938724652262086
Arm `base` — 16 channelsrecur.channels.wiener.arm_baselive16
Arm `first` — 29 channelsrecur.channels.wiener.arm_firstlive29
Arm `second` — 44 channelsrecur.channels.wiener.arm_secondlive44
wiener — frac seedablerecur.channels.wiener.frac_seedablelive0.9421342978832205
wiener — frac seedable of validrecur.channels.wiener.frac_seedable_of_validlive0.9791877421197641
wiener — frac validrecur.channels.wiener.frac_validlive0.9621589990941577
Planted 0.25% requestedrecur.dose.occ0.0025live0.0004710945233099037
Planted 0.5% requestedrecur.dose.occ0.005live0.00117265591150663
Planted 1% requestedrecur.dose.occ0.01live0.0020814219746055585
Planted 2% requestedrecur.dose.occ0.02live0.0042948490975836685
Planted 5% requestedrecur.dose.occ0.05live0.009134419926904901
Planted 10% requestedrecur.dose.occ0.1live0.012270431709372438
Occupancy-equivalent of the corpus excessrecur.dose.occupancy_equivalentlive0.10874449140508877
Motif 0-11-0recur.grammar.0-11-0provisional2031
Motif 0-11-0-11recur.grammar.0-11-0-11provisional525
Motif 0-16-0recur.grammar.0-16-0provisional407
Motif 0-17-0recur.grammar.0-17-0provisional987
Motif 0-21-0recur.grammar.0-21-0provisional794
Motif 0-23-0recur.grammar.0-23-0provisional901
Motif 0-3recur.grammar.0-3provisional3796
Motif 0-6-0recur.grammar.0-6-0provisional1075
Motif 0-8recur.grammar.0-8provisional6271
Motif 0-8-0recur.grammar.0-8-0provisional5385
Motif 0-8-0-8recur.grammar.0-8-0-8provisional2354
Motif 1-10-1recur.grammar.1-10-1provisional1545
Motif 1-12-1recur.grammar.1-12-1provisional1771
Motif 1-12-1-4recur.grammar.1-12-1-4provisional571
Motif 1-2recur.grammar.1-2provisional2941
Motif 1-2-1recur.grammar.1-2-1provisional1188
Motif 1-4recur.grammar.1-4provisional4667
Motif 1-4-1recur.grammar.1-4-1provisional3111
Motif 1-4-1-12recur.grammar.1-4-1-12provisional578
Motif 1-4-1-4recur.grammar.1-4-1-4provisional899
Motif 1-5-1recur.grammar.1-5-1provisional519
Motif 11-0recur.grammar.11-0provisional4174
Motif 11-0-11recur.grammar.11-0-11provisional1092
Motif 11-0-11-0recur.grammar.11-0-11-0provisional736
Motif 12-1recur.grammar.12-1provisional2883
Motif 12-1-4recur.grammar.12-1-4provisional854
Motif 12-1-4-1recur.grammar.12-1-4-1provisional603
Motif 2-1recur.grammar.2-1provisional4138
Motif 2-1-2recur.grammar.2-1-2provisional773
Motif 2-1-5recur.grammar.2-1-5provisional597
Motif 4-1recur.grammar.4-1provisional5921
Motif 4-1-12recur.grammar.4-1-12provisional933
Motif 4-1-12-1recur.grammar.4-1-12-1provisional664
Motif 4-1-4recur.grammar.4-1-4provisional1540
Motif 4-1-4-1recur.grammar.4-1-4-1provisional1092
Motif 6-0-6recur.grammar.6-0-6provisional691
Motif 8-0recur.grammar.8-0provisional9225
Motif 8-0-8recur.grammar.8-0-8provisional3510
Motif 8-0-8-0recur.grammar.8-0-8-0provisional3111
Motif 9-2recur.grammar.9-2provisional2929
Motif 18-34recur.grammar.nonparam2.18-34provisional162
Motif 18-34-18recur.grammar.nonparam2.18-34-18provisional50
Motif 18-53recur.grammar.nonparam2.18-53provisional57
Motif 34-18recur.grammar.nonparam2.34-18provisional251
Motif 34-18-34recur.grammar.nonparam2.34-18-34provisional59
Motif 34-55recur.grammar.nonparam2.34-55provisional98
Motif 52-18recur.grammar.nonparam2.52-18provisional79
Motif 55-34recur.grammar.nonparam2.55-34provisional91
Within-(animal, day) context contrastrecur.journeys.moseq.contrastprovisional0.10666818841213976
Day 1 — distance from the animal's own baselinerecur.journeys.moseq.day1provisional1.140848967406503
Day 2 — distance from the animal's own baselinerecur.journeys.moseq.day2provisional1.1452300614637887
Day 3 — distance from the animal's own baselinerecur.journeys.moseq.day3provisional1.114348200211878
Day 4 — distance from the animal's own baselinerecur.journeys.moseq.day4provisional1.153905956345594
Day 5 — distance from the animal's own baselinerecur.journeys.moseq.day5provisional1.1728217626827284
Day 6 — distance from the animal's own baselinerecur.journeys.moseq.day6provisional1.1932354029244487
Day 7 — distance from the animal's own baselinerecur.journeys.moseq.day7provisional1.1744466499755764
Within-(animal, day) context contrastrecur.journeys.moseq_contaminated.contrastprovisional0.19358324187608664
Day 1 — distance from the animal's own baselinerecur.journeys.moseq_contaminated.day1provisional0.8469870821577868
Day 2 — distance from the animal's own baselinerecur.journeys.moseq_contaminated.day2provisional0.7854882241032419
Day 3 — distance from the animal's own baselinerecur.journeys.moseq_contaminated.day3provisional0.8050308163967592
Day 4 — distance from the animal's own baselinerecur.journeys.moseq_contaminated.day4provisional0.8820254690441298
Day 5 — distance from the animal's own baselinerecur.journeys.moseq_contaminated.day5provisional0.9026467628404489
Day 6 — distance from the animal's own baselinerecur.journeys.moseq_contaminated.day6provisional0.8905743282893842
Day 7 — distance from the animal's own baselinerecur.journeys.moseq_contaminated.day7provisional0.891887840796912
26. The recurrence statistic measured spread, not recurrencerecur.ledger.26live
27. The detection floor had a different background at every occupancyrecur.ledger.27live
28. The Gram form cannot report the distances the statistic is made ofrecur.ledger.28live
29. The context contrast was a null that could not rejectrecur.ledger.29live
30. A package silently shadowed a module of the same namerecur.ledger.30live
31. A gate too eager to fire is as uninformative as one that cannotrecur.ledger.31live
32. A control that installs the signature it is testing forrecur.ledger.32live
33. Flag enrichment is not proof of artifactrecur.ledger.33live
34. The detection floor was measured at a scale nothing usedrecur.ledger.34live
35. The pose-preserving null fails its own acceptance testrecur.ledger.35live
36. A spread reported in the wrong unitsrecur.ledger.36live
37. The montage was a grid of grids, and the clips were mostly arenarecur.ledger.37live
38. A blank is an answer, and the instrument was throwing it awayrecur.ledger.38live
39. The discreteness adjudication was measuring the priorrecur.ledger.39live
40. A lazy npz member re-read inside a comprehensionrecur.ledger.40live
41. The ordinal arm asked a question whose answer says nothing to dorecur.ledger.41live
42. The partition instrument could be scored with the sound off and the video blackrecur.ledger.42live
43. Every batch-1 trial id collides with a batch-2 idrecur.ledger.43live
44. The onset-aligned treatment truncated away the thing it was built to showrecur.ledger.44live
45. Stacking a still image under a clip silently played it 20% slowrecur.ledger.45live
46. The orphaned pre-fanout instrument was still live, and the PI opened itrecur.ledger.46live
47. A rank test ran out of resolution, and the ceiling was read as evidencerecur.ledger.47live
48. The grammar test returns a grammar on white noiserecur.ledger.48live
49. The most-read document quoted a model the project had already retiredrecur.ledger.49live
50. The statistic that selected every panel was the one not written downrecur.ledger.50live
51. Three renders shared one output path and one gate between two labellersrecur.ledger.51live
52. The context contrast was measuring how long, not how oftenrecur.ledger.52live
53. A label that could not fill its panel was dropped from the panel that mattered, and kept in the controlrecur.ledger.53live
54. The strongest motifs are alternations with a two-frame syllablerecur.ledger.54live
55. The surrogate controls pass by a factor of 24, which is not the same as passingrecur.ledger.55live
56. The pose-preserving null's acceptance failure was the blend, not the joinrecur.ledger.56live
57. A pooled chain proposed states the recording did not have, and the emitter quietly substitutedrecur.ledger.57live
58. The microstate null passes, and unblocks a calibration that was stuck twicerecur.ledger.58live
59. Deleting the abstain gap manufactured a third of the motifsrecur.ledger.59live
60. The microstate null moves twice as fast as the animalrecur.ledger.60live
61. The v2 arm's grammar was compared to a control that had not been runrecur.ledger.61live
Open risks, not yet failuresrecur.ledger.open-riskslive
Label 0 — mean skeletonrecur.meanskel.label_000live0.14479626758639583
Label 1 — mean skeletonrecur.meanskel.label_001live0.0011904761904761904
Label 2 — mean skeletonrecur.meanskel.label_002live0.02099193449781627
Label 3 — mean skeletonrecur.meanskel.label_003live0.09490525788898715
Label 4 — mean skeletonrecur.meanskel.label_004live0.0006097560975609756
Label 5 — mean skeletonrecur.meanskel.label_005live0.025330920869245124
Label 6 — mean skeletonrecur.meanskel.label_006live0.10328220354816099
Label 7 — mean skeletonrecur.meanskel.label_007live0.016630924594692738
Label 8 — mean skeletonrecur.meanskel.label_008live0.5148798584842801
Label 9 — mean skeletonrecur.meanskel.label_009live0.0343385391512927
Label 10 — mean skeletonrecur.meanskel.label_010live0.0
Label 11 — mean skeletonrecur.meanskel.label_011live0.2981942440275773
Label 12 — mean skeletonrecur.meanskel.label_012live0.009540723981900453
Label 13 — mean skeletonrecur.meanskel.label_013live0.062314420717782065
Label 14 — mean skeletonrecur.meanskel.label_014live0.14582917951190794
Label 15 — mean skeletonrecur.meanskel.label_015live0.014309489600437875
Label 17 — mean skeletonrecur.meanskel.label_017live0.18028908272205194
Label 18 — mean skeletonrecur.meanskel.label_018live0.15245287560517123
Label 23 — mean skeletonrecur.meanskel.label_023live0.3134451457181636
Label 27 — mean skeletonrecur.meanskel.label_027live0.40686997881089354
Motif 0-11-0 — mean skeletonrecur.meanskel.motif_0-11-0provisional0.22572358083628577
Motif 0-6-0 — mean skeletonrecur.meanskel.motif_0-6-0provisional0.06579215389880369
Motif 0-8-0 — mean skeletonrecur.meanskel.motif_0-8-0provisional0.3777870478334875
Motif 1-15 — mean skeletonrecur.meanskel.motif_1-15provisional0.0
Motif 1-4-1 — mean skeletonrecur.meanskel.motif_1-4-1provisional0.0
Motif 14-0 — mean skeletonrecur.meanskel.motif_14-0provisional0.18628272312482838
Motif 17-0 — mean skeletonrecur.meanskel.motif_17-0provisional0.32986583743272707
Motif 2-1-5 — mean skeletonrecur.meanskel.motif_2-1-5provisional0.012806009615384617
Motif 2-9 — mean skeletonrecur.meanskel.motif_2-9provisional0.022494364649950808
Motif 4-1-4 — mean skeletonrecur.meanskel.motif_4-1-4provisional0.004390583525521083
Motif 4-1-4-1 — mean skeletonrecur.meanskel.motif_4-1-4-1provisional0.00035460992907801415
Motif 6-2 — mean skeletonrecur.meanskel.motif_6-2provisional0.06792839109944684
Motif 6-7 — mean skeletonrecur.meanskel.motif_6-7provisional0.0534307633806718
Label 0 — event mass 0.17660887452248017recur.montage.events_000live0.17660887452248017
Label 1 — event mass 0.100666459349118recur.montage.events_001live0.100666459349118
Label 2 — event mass 0.07156877569477531recur.montage.events_002live0.07156877569477531
Label 3 — event mass 0.05444795996679115recur.montage.events_003live0.05444795996679115
Label 4 — event mass 0.050566461916812404recur.montage.events_004live0.050566461916812404
Label 5 — event mass 0.04143830828880286recur.montage.events_005live0.04143830828880286
Label 6 — event mass 0.05959048127152227recur.montage.events_006live0.05959048127152227
Label 7 — event mass 0.044311273034358604recur.montage.events_007live0.044311273034358604
Label 8 — event mass 0.05822247074968118recur.montage.events_008live0.05822247074968118
Label 9 — event mass 0.047291225047003074recur.montage.events_009live0.047291225047003074
Label 10 — event mass 0.02510919833727522recur.montage.events_010live0.02510919833727522
Label 11 — event mass 0.03702615339406406recur.montage.events_011live0.03702615339406406
Label 12 — event mass 0.0216157074426049recur.montage.events_012live0.0216157074426049
Label 13 — event mass 0.022524385964411756recur.montage.events_013live0.022524385964411756
Label 14 — event mass 0.01913502934304112recur.montage.events_014live0.01913502934304112
Label 15 — event mass 0.01660585034906379recur.montage.events_015live0.01660585034906379
Label 16 — event mass 0.006112539193002177recur.montage.events_016live0.006112539193002177
Label 17 — event mass 0.020726999877321267recur.montage.events_017live0.020726999877321267
Label 18 — event mass 0.01609088497014342recur.montage.events_018live0.01609088497014342
Label 19 — event mass 0.00701551172723097recur.montage.events_019live0.00701551172723097
Label 20 — event mass 0.010755786584652606recur.montage.events_020live0.010755786584652606
Label 21 — event mass 0.007618919913611348recur.montage.events_021live0.007618919913611348
Label 22 — event mass 0.009139565603165681recur.montage.events_022live0.009139565603165681
Label 23 — event mass 0.01905514551694821recur.montage.events_023live0.01905514551694821
Label 24 — event mass 0.00555049941656277recur.montage.events_024live0.00555049941656277
Label 25 — event mass 0.00951045479573991recur.montage.events_025live0.00951045479573991
Label 26 — event mass 0.0063407786961247785recur.montage.events_026live0.0063407786961247785
Label 27 — event mass 0.015614435007374989recur.montage.events_027live0.015614435007374989
Label 28 — event mass 0.00401701525495779recur.montage.events_028live0.00401701525495779
Label 29 — event mass 0.0027574184970999317recur.montage.events_029live0.0027574184970999317
Label 30 — event mass 0.002959981056121241recur.montage.events_030live0.002959981056121241
Label 31 — event mass 0.0013237891181110898recur.montage.events_031live0.0013237891181110898
Label 32 — event mass 0.002193952223766009recur.montage.events_032live0.002193952223766009
Label 33 — event mass 0.0010684461739926792recur.montage.events_033live0.0010684461739926792
Label 34 — event mass 0.0014022464473094842recur.montage.events_034live0.0014022464473094842
Label 35 — event mass 0.000881575080811049recur.montage.events_035live0.000881575080811049
Label 36 — event mass 4.279490683548782e-06recur.montage.events_036live4.279490683548782e-06
Label 37 — event mass 0.00041511059630423185recur.montage.events_037live0.00041511059630423185
Label 38 — event mass 0.0004935679255026261recur.montage.events_038live0.0004935679255026261
Label 39 — event mass 5.7059875780650425e-06recur.montage.events_039live5.7059875780650425e-06
Label 40 — event mass 8.416331677645938e-05recur.montage.events_040live8.416331677645938e-05
Label 41 — event mass 0.001099829105672037recur.montage.events_041live0.001099829105672037
Label 43 — event mass 6.561885714774798e-05recur.montage.events_043live6.561885714774798e-05
Label 44 — event mass 3.138293167935773e-05recur.montage.events_044live3.138293167935773e-05
Label 47 — event mass 3.280942857387399e-05recur.montage.events_047live3.280942857387399e-05
Label 50 — event mass 1.4264968945162606e-06recur.montage.events_050live1.4264968945162606e-06
Label 52 — event mass 0.0007888527826674922recur.montage.events_052live0.0007888527826674922
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Label 11 — event mass 0.0017973821657397814recur.montage.nonparam2.events_011live0.0017973821657397814
Label 12 — event mass 0.004482882578080396recur.montage.nonparam2.events_012live0.004482882578080396
Label 13 — event mass 0.002199149943963968recur.montage.nonparam2.events_013live0.002199149943963968
Label 14 — event mass 0.03353703664545051recur.montage.nonparam2.events_014live0.03353703664545051
Label 15 — event mass 0.0005920788310672221recur.montage.nonparam2.events_015live0.0005920788310672221
Label 16 — event mass 0.002537480704573809recur.montage.nonparam2.events_016live0.002537480704573809
Label 17 — event mass 0.000274893742995496recur.montage.nonparam2.events_017live0.000274893742995496
Label 18 — event mass 0.11888097100928295recur.montage.nonparam2.events_018live0.11888097100928295
Label 19 — event mass 0.007971918546869383recur.montage.nonparam2.events_019live0.007971918546869383
Label 20 — event mass 2.1145672538115074e-05recur.montage.nonparam2.events_020live2.1145672538115074e-05
Label 21 — event mass 6.343701761434523e-05recur.montage.nonparam2.events_021live6.343701761434523e-05
Label 22 — event mass 0.007887335856716924recur.montage.nonparam2.events_022live0.007887335856716924
Label 23 — event mass 0.003362161933560297recur.montage.nonparam2.events_023live0.003362161933560297
Label 24 — event mass 0.003954240764627519recur.montage.nonparam2.events_024live0.003954240764627519
Label 25 — event mass 0.011122623755048529recur.montage.nonparam2.events_025live0.011122623755048529
Label 26 — event mass 0.014104163582922755recur.montage.nonparam2.events_026live0.014104163582922755
Label 27 — event mass 0.039605844663889535recur.montage.nonparam2.events_027live0.039605844663889535
Label 28 — event mass 0.00010572836269057537recur.montage.nonparam2.events_028live0.00010572836269057537
Label 29 — event mass 0.0073798397158021615recur.montage.nonparam2.events_029live0.0073798397158021615
Label 30 — event mass 0.0028969571377217653recur.montage.nonparam2.events_030live0.0028969571377217653
Label 31 — event mass 0.00038062210568607133recur.montage.nonparam2.events_031live0.00038062210568607133
Label 32 — event mass 0.009769300712609164recur.montage.nonparam2.events_032live0.009769300712609164
Label 33 — event mass 0.0026855004123406143recur.montage.nonparam2.events_033live0.0026855004123406143
Label 34 — event mass 0.19604153010086486recur.montage.nonparam2.events_034live0.19604153010086486
Label 35 — event mass 0.022562432598168786recur.montage.nonparam2.events_035live0.022562432598168786
Label 36 — event mass 0.00029603941553361105recur.montage.nonparam2.events_036live0.00029603941553361105
Label 37 — event mass 0.0018185278382778964recur.montage.nonparam2.events_037live0.0018185278382778964
Label 38 — event mass 0.00412340614493244recur.montage.nonparam2.events_038live0.00412340614493244
Label 39 — event mass 0.0007400985388340277recur.montage.nonparam2.events_039live0.0007400985388340277
Label 40 — event mass 0.012856568903173965recur.montage.nonparam2.events_040live0.012856568903173965
Label 41 — event mass 0.0039753864371656344recur.montage.nonparam2.events_041live0.0039753864371656344
Label 42 — event mass 0.004736630648537777recur.montage.nonparam2.events_042live0.004736630648537777
Label 43 — event mass 0.009727009367532935recur.montage.nonparam2.events_043live0.009727009367532935
Label 44 — event mass 0.0029603941553361106recur.montage.nonparam2.events_044live0.0029603941553361106
Label 45 — event mass 0.07826013406356389recur.montage.nonparam2.events_045live0.07826013406356389
Label 46 — event mass 0.003679347021632023recur.montage.nonparam2.events_046live0.003679347021632023
Label 47 — event mass 0.00429257152523736recur.montage.nonparam2.events_047live0.00429257152523736
Label 48 — event mass 0.028166035820769278recur.montage.nonparam2.events_048live0.028166035820769278
Label 49 — event mass 0.0006132245036053371recur.montage.nonparam2.events_049live0.0006132245036053371
Label 50 — event mass 0.008817745448393987recur.montage.nonparam2.events_050live0.008817745448393987
Label 51 — event mass 0.003171850880717261recur.montage.nonparam2.events_051live0.003171850880717261
Label 52 — event mass 0.1289251654648876recur.montage.nonparam2.events_052live0.1289251654648876
Label 53 — event mass 0.027764268042545094recur.montage.nonparam2.events_053live0.027764268042545094
Label 54 — event mass 0.015013427502061702recur.montage.nonparam2.events_054live0.015013427502061702
Label 55 — event mass 0.08538622570890868recur.montage.nonparam2.events_055live0.08538622570890868
Label 56 — event mass 0.0020299845636590473recur.montage.nonparam2.events_056live0.0020299845636590473
Label 57 — event mass 0.0115032458607346recur.montage.nonparam2.events_057live0.0115032458607346
Label 58 — event mass 0.000570933158529107recur.montage.nonparam2.events_058live0.000570933158529107
Label 59 — event mass 0.00824681228986488recur.montage.nonparam2.events_059live0.00824681228986488
Label 0 — 11 runs, frame mass 4.109415483335555e-05recur.montage.nonparam2.mass_000live4.109415483335555e-05
Label 1 — 180 runs, frame mass 0.0028732350119373222recur.montage.nonparam2.mass_001live0.0028732350119373222
Label 2 — 215 runs, frame mass 0.0039330285379476845recur.montage.nonparam2.mass_002live0.0039330285379476845
Label 3 — 58 runs, frame mass 0.0014569585238696989recur.montage.nonparam2.mass_003live0.0014569585238696989
Label 4 — 366 runs, frame mass 0.008147416625965007recur.montage.nonparam2.mass_004live0.008147416625965007
Label 5 — 18 runs, frame mass 0.0005237444146096432recur.montage.nonparam2.mass_005live0.0005237444146096432
Label 6 — 1569 runs, frame mass 0.01953344122217078recur.montage.nonparam2.mass_006live0.01953344122217078
Label 7 — 8 runs, frame mass 0.00026711200641681105recur.montage.nonparam2.mass_007live0.00026711200641681105
Label 8 — 123 runs, frame mass 0.0028520403189000614recur.montage.nonparam2.mass_008live0.0028520403189000614
Label 9 — 175 runs, frame mass 0.0035754858412385612recur.montage.nonparam2.mass_009live0.0035754858412385612
Label 10 — 25 runs, frame mass 0.00028336127107871095recur.montage.nonparam2.mass_010live0.00028336127107871095
Label 11 — 85 runs, frame mass 0.001103301520884073recur.montage.nonparam2.mass_011live0.001103301520884073
Label 12 — 212 runs, frame mass 0.004157751158289974recur.montage.nonparam2.mass_012live0.004157751158289974
Label 13 — 104 runs, frame mass 0.002494674244632915recur.montage.nonparam2.mass_013live0.002494674244632915
Label 14 — 1586 runs, frame mass 0.02489275485323146recur.montage.nonparam2.mass_014live0.02489275485323146
Label 15 — 28 runs, frame mass 0.0007338662464151532recur.montage.nonparam2.mass_015live0.0007338662464151532
Label 16 — 120 runs, frame mass 0.002540949324430934recur.montage.nonparam2.mass_016live0.002540949324430934
Label 17 — 13 runs, frame mass 0.0001449481507159332recur.montage.nonparam2.mass_017live0.0001449481507159332
Label 18 — 5622 runs, frame mass 0.13664571846005955recur.montage.nonparam2.mass_018live0.13664571846005955
Label 19 — 377 runs, frame mass 0.004495629889792306recur.montage.nonparam2.mass_019live0.004495629889792306
Label 20 — 1 runs, frame mass 4.592183491406494e-06recur.montage.nonparam2.mass_020live4.592183491406494e-06
Label 21 — 3 runs, frame mass 0.00010832843107933268recur.montage.nonparam2.mass_021live0.00010832843107933268
Label 22 — 373 runs, frame mass 0.00783232218947773recur.montage.nonparam2.mass_022live0.00783232218947773
Label 23 — 159 runs, frame mass 0.003823640372216489recur.montage.nonparam2.mass_023live0.003823640372216489
Label 24 — 187 runs, frame mass 0.003830705269895576recur.montage.nonparam2.mass_024live0.003830705269895576
Label 25 — 526 runs, frame mass 0.014637349382268896recur.montage.nonparam2.mass_025live0.014637349382268896
Label 26 — 667 runs, frame mass 0.013828006478982165recur.montage.nonparam2.mass_026live0.013828006478982165
Label 27 — 1873 runs, frame mass 0.03722082468079615recur.montage.nonparam2.mass_027live0.03722082468079615
Label 28 — 5 runs, frame mass 0.0004812372802404703recur.montage.nonparam2.mass_028live0.0004812372802404703
Label 29 — 349 runs, frame mass 0.007627675653373512recur.montage.nonparam2.mass_029live0.007627675653373512
Label 30 — 137 runs, frame mass 0.0030668132083443034recur.montage.nonparam2.mass_030live0.0030668132083443034
Label 31 — 18 runs, frame mass 0.00024020652108895508recur.montage.nonparam2.mass_031live0.00024020652108895508
Label 32 — 462 runs, frame mass 0.008048449184310464recur.montage.nonparam2.mass_032live0.008048449184310464
Label 33 — 127 runs, frame mass 0.001461197462477151recur.montage.nonparam2.mass_033live0.001461197462477151
Label 34 — 9271 runs, frame mass 0.18622993745681582recur.montage.nonparam2.mass_034live0.18622993745681582
Label 35 — 1067 runs, frame mass 0.01994638449151341recur.montage.nonparam2.mass_035live0.01994638449151341
Label 36 — 14 runs, frame mass 0.0002678773703320455recur.montage.nonparam2.mass_036live0.0002678773703320455
Label 37 — 86 runs, frame mass 0.0006980707648411128recur.montage.nonparam2.mass_037live0.0006980707648411128
Label 38 — 195 runs, frame mass 0.0037744804591995093recur.montage.nonparam2.mass_038live0.0037744804591995093
Label 39 — 35 runs, frame mass 0.0008678049315811759recur.montage.nonparam2.mass_039live0.0008678049315811759
Label 40 — 608 runs, frame mass 0.01308354288604838recur.montage.nonparam2.mass_040live0.01308354288604838
Label 41 — 188 runs, frame mass 0.0037964405161520047recur.montage.nonparam2.mass_041live0.0037964405161520047
Label 42 — 224 runs, frame mass 0.004040532730964458recur.montage.nonparam2.mass_042live0.004040532730964458
Label 43 — 460 runs, frame mass 0.008978425215467604recur.montage.nonparam2.mass_043live0.008978425215467604
Label 44 — 140 runs, frame mass 0.002325705441808086recur.montage.nonparam2.mass_044live0.002325705441808086
Label 45 — 3701 runs, frame mass 0.09935106559851693recur.montage.nonparam2.mass_045live0.09935106559851693
Label 46 — 174 runs, frame mass 0.0024768353779932206recur.montage.nonparam2.mass_046live0.0024768353779932206
Label 47 — 203 runs, frame mass 0.0036229384039830953recur.montage.nonparam2.mass_047live0.0036229384039830953
Label 48 — 1332 runs, frame mass 0.0321467562935286recur.montage.nonparam2.mass_048live0.0321467562935286
Label 49 — 29 runs, frame mass 0.0010156967896633954recur.montage.nonparam2.mass_049live0.0010156967896633954
Label 50 — 417 runs, frame mass 0.009237353715406139recur.montage.nonparam2.mass_050live0.009237353715406139
Label 51 — 150 runs, frame mass 0.0020916218320410065recur.montage.nonparam2.mass_051live0.0020916218320410065
Label 52 — 6097 runs, frame mass 0.10489942411664052recur.montage.nonparam2.mass_052live0.10489942411664052
Label 53 — 1313 runs, frame mass 0.03610215700746006recur.montage.nonparam2.mass_053live0.03610215700746006
Label 54 — 710 runs, frame mass 0.010552543292515494recur.montage.nonparam2.mass_054live0.010552543292515494
Label 55 — 4038 runs, frame mass 0.11537766823523095recur.montage.nonparam2.mass_055live0.11537766823523095
Label 56 — 96 runs, frame mass 0.0013909017305702362recur.montage.nonparam2.mass_056live0.0013909017305702362
Label 57 — 544 runs, frame mass 0.007834029539750176recur.montage.nonparam2.mass_057live0.007834029539750176
Label 58 — 27 runs, frame mass 0.0007056066556988055recur.montage.nonparam2.mass_058live0.0007056066556988055
Label 59 — 390 runs, frame mass 0.006278339070815237recur.montage.nonparam2.mass_059live0.006278339070815237
unfiltered vs ar at w = 0.4 srecur.q1.unfiltered__w0.4__base__amplitude__d192__vs_arlive-0.001991482565406438
unfiltered vs phase at w = 0.4 srecur.q1.unfiltered__w0.4__base__amplitude__d192__vs_phaselive0.09412638319454535
wiener vs ar at w = 0.2 srecur.q1.wiener__w0.2__base__amplitude__d64__vs_arlive0.0028869819082428766
wiener vs phase at w = 0.2 srecur.q1.wiener__w0.2__base__amplitude__d64__vs_phaselive0.09603247013450299
wiener vs ar at w = 0.4 srecur.q1.wiener__w0.4__base__amplitude__d192__vs_arlive0.01639124547421481
wiener vs ou at w = 0.4 srecur.q1.wiener__w0.4__base__amplitude__d192__vs_oulive0.7162641511724819
wiener vs phase at w = 0.4 srecur.q1.wiener__w0.4__base__amplitude__d192__vs_phaselive0.15075743935194402
wiener vs white at w = 0.4 srecur.q1.wiener__w0.4__base__amplitude__d192__vs_whitelive0.2796766821449206
wiener vs ar at w = 0.4 srecur.q1.wiener__w0.4__base__amplitude__d64__vs_arlive0.011951325060619663
wiener vs phase at w = 0.4 srecur.q1.wiener__w0.4__base__amplitude__d64__vs_phaselive0.14559306825551407
wiener vs ar at w = 0.4 srecur.q1.wiener__w0.4__base__znorm__d64__vs_arlive0.05902271600304185
wiener vs phase at w = 0.4 srecur.q1.wiener__w0.4__base__znorm__d64__vs_phaselive0.09621223296011057
wiener vs ar at w = 0.4 srecur.q1.wiener__w0.4__first__amplitude__d64__vs_arlive0.024693816196419974
wiener vs phase at w = 0.4 srecur.q1.wiener__w0.4__first__amplitude__d64__vs_phaselive0.08546846136729462
wiener vs ar at w = 0.4 srecur.q1.wiener__w0.4__second__amplitude__d64__vs_arlive0.03004851591381741
wiener vs phase at w = 0.4 srecur.q1.wiener__w0.4__second__amplitude__d64__vs_phaselive0.11463977974995605
wiener vs ar at w = 0.8 srecur.q1.wiener__w0.8__base__amplitude__d64__vs_arlive0.02458434751718348
wiener vs phase at w = 0.8 srecur.q1.wiener__w0.8__base__amplitude__d64__vs_phaselive0.11972226201307083
wiener vs ar at w = 1.5 srecur.q1.wiener__w1.5__base__amplitude__d64__vs_arlive0.03157627432301837
wiener vs phase at w = 1.5 srecur.q1.wiener__w1.5__base__amplitude__d64__vs_phaselive0.10543656182517948
wiener vs ar at w = 1.5 srecur.q1.wiener__w1.5__base__amplitude__d720__vs_arlive0.05854136525152746
wiener vs ar at w = 3.0 srecur.q1.wiener__w3__base__amplitude__d64__vs_arlive0.02535982450063426
wiener vs phase at w = 3.0 srecur.q1.wiener__w3__base__amplitude__d64__vs_phaselive0.08004417730647267
Label 0 — b1/rater1recur.rating.b1_rater1.000live0.0
Label 1 — b1/rater1recur.rating.b1_rater1.001live0.8
Label 2 — b1/rater1recur.rating.b1_rater1.002live0.6
Label 3 — b1/rater1recur.rating.b1_rater1.003live0.42857142857142855
Label 4 — b1/rater1recur.rating.b1_rater1.004live0.7142857142857143
Label 5 — b1/rater1recur.rating.b1_rater1.005live0.5
Label 6 — b1/rater1recur.rating.b1_rater1.006live0.6666666666666666
Label 7 — b1/rater1recur.rating.b1_rater1.007live0.16666666666666666
Label 8 — b1/rater1recur.rating.b1_rater1.008live0.16666666666666666
Label 9 — b1/rater1recur.rating.b1_rater1.009live0.3333333333333333
Label 10 — b1/rater1recur.rating.b1_rater1.010live0.4
Label 11 — b1/rater1recur.rating.b1_rater1.011live0.5
Label 12 — b1/rater1recur.rating.b1_rater1.012live0.4
Label 13 — b1/rater1recur.rating.b1_rater1.013live0.4
Label 14 — b1/rater1recur.rating.b1_rater1.014live1.0
Label 15 — b1/rater1recur.rating.b1_rater1.015live0.25
Label 17 — b1/rater1recur.rating.b1_rater1.017live0.25
Label 18 — b1/rater1recur.rating.b1_rater1.018live0.75
Label 23 — b1/rater1recur.rating.b1_rater1.023live0.16666666666666666
Label 27 — b1/rater1recur.rating.b1_rater1.027live0.16666666666666666
Label 16 — b2/Carlosrecur.rating.b2_Carlos.016live0.3684210526315789
Label 19 — b2/Carlosrecur.rating.b2_Carlos.019live0.2631578947368421
Label 20 — b2/Carlosrecur.rating.b2_Carlos.020live0.21052631578947367
Label 21 — b2/Carlosrecur.rating.b2_Carlos.021live0.21428571428571427
Label 22 — b2/Carlosrecur.rating.b2_Carlos.022live0.5555555555555556
Label 24 — b2/Carlosrecur.rating.b2_Carlos.024live0.11764705882352941
Label 25 — b2/Carlosrecur.rating.b2_Carlos.025live0.42105263157894735
Label 26 — b2/Carlosrecur.rating.b2_Carlos.026live0.5294117647058824
Label 28 — b2/Carlosrecur.rating.b2_Carlos.028live0.3888888888888889
Label 29 — b2/Carlosrecur.rating.b2_Carlos.029live0.3
Label 30 — b2/Carlosrecur.rating.b2_Carlos.030live0.5294117647058824
Label 31 — b2/Carlosrecur.rating.b2_Carlos.031live0.29411764705882354
Label 32 — b2/Carlosrecur.rating.b2_Carlos.032live0.55
Label 33 — b2/Carlosrecur.rating.b2_Carlos.033live0.47368421052631576
Label 34 — b2/Carlosrecur.rating.b2_Carlos.034live0.631578947368421
Label 35 — b2/Carlosrecur.rating.b2_Carlos.035live0.35
Label 37 — b2/Carlosrecur.rating.b2_Carlos.037live0.7777777777777778
Label 38 — b2/Carlosrecur.rating.b2_Carlos.038live0.7
Label 41 — b2/Carlosrecur.rating.b2_Carlos.041live0.5625
Label 52 — b2/Carlosrecur.rating.b2_Carlos.052live0.25
nonparam2 on ou wiener — coveragerecur.results.label_nonparam2_ou_wienerlive0.0
nonparam2 on white wiener — coveragerecur.results.label_nonparam2_white_wienerlive0.0
discrimination (bout) — per-animal slope rangerecur.results.learning_curve.per_animal_discrimination_boutlive3.40011
discrimination (frame) — per-animal slope rangerecur.results.learning_curve.per_animal_discrimination_framelive1.04755
stabilisation (bout) — per-animal slope rangerecur.results.learning_curve.per_animal_stabilisation_boutlive2.652822
stabilisation (frame) — per-animal slope rangerecur.results.learning_curve.per_animal_stabilisation_framelive0.72523
anatomy · verdictrecur.results/anatomy/verdictliveanatomy ruled out; excess(1) is negativeanatomy ruled out; excess(1) is negative
audit_moseq · dwell_vs_geometricrecur.results/audit_moseq/reads/dwell_vs_geometriclivePASS1.0
audit_moseq · identity_leak_animalrecur.results/audit_moseq/reads/identity_leak_animallivePASS0.026833333333333334
audit_moseq · identity_leak_sessionrecur.results/audit_moseq/reads/identity_leak_sessionlivePASS0.0008333333333333334
audit_moseq · tracking_artifactrecur.results/audit_moseq/reads/tracking_artifactliveFAIL
audit_moseq_contaminated · dwell_vs_geometricrecur.results/audit_moseq_contaminated/reads/dwell_vs_geometriclivePASS1.0
audit_moseq_contaminated · identity_leak_animalrecur.results/audit_moseq_contaminated/reads/identity_leak_animallivePASS0.024333333333333332
audit_moseq_contaminated · identity_leak_sessionrecur.results/audit_moseq_contaminated/reads/identity_leak_sessionlivePASS0.0011666666666666668
audit_moseq_contaminated · tracking_artifactrecur.results/audit_moseq_contaminated/reads/tracking_artifactliveFAIL
audit_nonparam · dwell_vs_geometricrecur.results/audit_nonparam/reads/dwell_vs_geometriclivePASS0.8402777777777778
audit_nonparam · identity_leak_animalrecur.results/audit_nonparam/reads/identity_leak_animallivePASS0.016833333333333332
audit_nonparam · identity_leak_sessionrecur.results/audit_nonparam/reads/identity_leak_sessionlivePASS0.005
audit_nonparam · tracking_artifactrecur.results/audit_nonparam/reads/tracking_artifactlivePASS
bilateral_unreliablerecur.results/bilateral_unreliablelive
channels_ar-planted_wiener_occ0.0025 · template_bandrecur.results/channels_ar-planted_wiener_occ0.0025/template_bandlivePASS
channels_ar-planted_wiener_occ0.0025_tpl1.5 · template_bandrecur.results/channels_ar-planted_wiener_occ0.0025_tpl1.5/template_bandlivePASS
channels_ar-planted_wiener_occ0.005 · template_bandrecur.results/channels_ar-planted_wiener_occ0.005/template_bandlivePASS
channels_ar-planted_wiener_occ0.005_tpl1.5 · template_bandrecur.results/channels_ar-planted_wiener_occ0.005_tpl1.5/template_bandlivePASS
channels_ar-planted_wiener_occ0.01 · template_bandrecur.results/channels_ar-planted_wiener_occ0.01/template_bandlivePASS
channels_ar-planted_wiener_occ0.01_tpl1.5 · template_bandrecur.results/channels_ar-planted_wiener_occ0.01_tpl1.5/template_bandlivePASS
channels_ar-planted_wiener_occ0.02 · template_bandrecur.results/channels_ar-planted_wiener_occ0.02/template_bandlivePASS
channels_ar-planted_wiener_occ0.02_tpl1.5 · template_bandrecur.results/channels_ar-planted_wiener_occ0.02_tpl1.5/template_bandlivePASS
channels_ar-planted_wiener_occ0.05 · template_bandrecur.results/channels_ar-planted_wiener_occ0.05/template_bandlivePASS
channels_ar-planted_wiener_occ0.05_tpl1.5 · template_bandrecur.results/channels_ar-planted_wiener_occ0.05_tpl1.5/template_bandlivePASS
channels_ar-planted_wiener_occ0.1 · template_bandrecur.results/channels_ar-planted_wiener_occ0.1/template_bandlivePASS
channels_ar-planted_wiener_occ0.1_tpl1.5 · template_bandrecur.results/channels_ar-planted_wiener_occ0.1_tpl1.5/template_bandlivePASS
channels_ar_unfilteredrecur.results/channels_ar_unfilteredlive
channels_ar_wienerrecur.results/channels_ar_wienerlive
channels_microstate_wiener_N500k1recur.results/channels_microstate_wiener_N500k1live
channels_ou-ar_wienerrecur.results/channels_ou-ar_wienerlive
channels_ou_wienerrecur.results/channels_ou_wienerlive
channels_phase_unfilteredrecur.results/channels_phase_unfilteredlive
channels_phase_wienerrecur.results/channels_phase_wienerlive
channels_planted_wiener_occ0.0025 · template_bandrecur.results/channels_planted_wiener_occ0.0025/template_bandlivePASS
channels_planted_wiener_occ0.005 · template_bandrecur.results/channels_planted_wiener_occ0.005/template_bandlivePASS
channels_planted_wiener_occ0.01 · template_bandrecur.results/channels_planted_wiener_occ0.01/template_bandlivePASS
channels_planted_wiener_occ0.02 · template_bandrecur.results/channels_planted_wiener_occ0.02/template_bandlivePASS
channels_planted_wiener_occ0.05 · template_bandrecur.results/channels_planted_wiener_occ0.05/template_bandlivePASS
channels_planted_wiener_occ0.1 · template_bandrecur.results/channels_planted_wiener_occ0.1/template_bandlivePASS
channels_posepreserve_wiener_blk0.13recur.results/channels_posepreserve_wiener_blk0.13live
channels_posepreserve_wiener_blk0.13_bl0recur.results/channels_posepreserve_wiener_blk0.13_bl0live
channels_posepreserve_wiener_blk0.5recur.results/channels_posepreserve_wiener_blk0.5live
channels_unfilteredrecur.results/channels_unfilteredlive
channels_white-microstate_wiener_N500k1recur.results/channels_white-microstate_wiener_N500k1live
channels_white-posepreserve_wiener_blk0.13recur.results/channels_white-posepreserve_wiener_blk0.13live
channels_white-posepreserve_wiener_blk0.13_bl0recur.results/channels_white-posepreserve_wiener_blk0.13_bl0live
channels_white_wienerrecur.results/channels_white_wienerlive
channels_white_wiener_s1recur.results/channels_white_wiener_s1live
dwell_moseqrecur.results/dwell_moseq/readretractedNOT_A_RESULT
dwell_surrogate_ar_wiener · arms · ambient_scaledrecur.results/dwell_surrogate_ar_wiener/arms/ambient_scaled/readliveINCONCLUSIVE
dwell_surrogate_ar_wiener · arms · fixed_thetarecur.results/dwell_surrogate_ar_wiener/arms/fixed_theta/readliveINCONCLUSIVE
dwell_surrogate_ar_wiener · arms · matched_coveragerecur.results/dwell_surrogate_ar_wiener/arms/matched_coverage/readlivePASS1.0
dwell_surrogate_ou_wiener · arms · ambient_scaledrecur.results/dwell_surrogate_ou_wiener/arms/ambient_scaled/readliveINCONCLUSIVE
dwell_surrogate_ou_wiener · arms · fixed_thetarecur.results/dwell_surrogate_ou_wiener/arms/fixed_theta/readliveINCONCLUSIVE
dwell_surrogate_ou_wiener · arms · matched_coveragerecur.results/dwell_surrogate_ou_wiener/arms/matched_coverage/readliveFAIL0.4694835680751174
dwell_surrogate_white_wiener · arms · ambient_scaledrecur.results/dwell_surrogate_white_wiener/arms/ambient_scaled/readliveINCONCLUSIVE
dwell_surrogate_white_wiener · arms · fixed_thetarecur.results/dwell_surrogate_white_wiener/arms/fixed_theta/readliveINCONCLUSIVE
dwell_surrogate_white_wiener · arms · matched_coveragerecur.results/dwell_surrogate_white_wiener/arms/matched_coverage/readlivePASS0.6222222222222222
manifestrecur.results/exports/moseq/manifestlive
manifestrecur.results/exports/nonparam/manifestlive
manifestrecur.results/exports/nonparam2/manifestlive
fanout_b2recur.results/fanout_b2live
grammar_moseqrecur.results/grammar_moseq/readprovisionalPASS
grammar_moseq_contaminatedrecur.results/grammar_moseq_contaminated/readprovisionalPASS
grammar_moseq_surrogate_arrecur.results/grammar_moseq_surrogate_ar/readprovisionalPASS
grammar_moseq_surrogate_ar_tablerecur.results/grammar_moseq_surrogate_ar_tableprovisional
grammar_moseq_surrogate_observedrecur.results/grammar_moseq_surrogate_observed/readprovisionalPASS
grammar_moseq_surrogate_observed_tablerecur.results/grammar_moseq_surrogate_observed_tableprovisional
grammar_moseq_surrogate_ourecur.results/grammar_moseq_surrogate_ou/readprovisionalPASS
grammar_moseq_surrogate_ou_tablerecur.results/grammar_moseq_surrogate_ou_tableprovisional
grammar_moseq_surrogate_whiterecur.results/grammar_moseq_surrogate_white/readprovisionalPASS
grammar_moseq_surrogate_white_tablerecur.results/grammar_moseq_surrogate_white_tableprovisional
grammar_moseq_tablerecur.results/grammar_moseq_tableprovisional
grammar_nonparamrecur.results/grammar_nonparam/readliveINCONCLUSIVE
grammar_nonparam2recur.results/grammar_nonparam2/readlivePASS
grammar_nonparam2_ou_wienerrecur.results/grammar_nonparam2_ou_wiener/readliveINCONCLUSIVE
grammar_nonparam2_ou_wiener_tablerecur.results/grammar_nonparam2_ou_wiener_tablelive
grammar_nonparam2_tablerecur.results/grammar_nonparam2_tablelive
grammar_nonparam2_white_wienerrecur.results/grammar_nonparam2_white_wiener/readliveINCONCLUSIVE
grammar_nonparam2_white_wiener_tablerecur.results/grammar_nonparam2_white_wiener_tablelive
grammar_nonparam_tablerecur.results/grammar_nonparam_tablelive
instrumentsrecur.results/instrumentslive
keyrecur.results/instruments/b2/forced_choice/Carlos/keylive
_source_keyrecur.results/instruments/b2/forced_choice/_source_keylive
keyrecur.results/instruments/b2/forced_choice/expertA/keylive
keyrecur.results/instruments/b2/forced_choice/expertB/keylive
keyrecur.results/instruments/b2/partition/expertA/keylive
keyrecur.results/instruments/b2/partition/expertB/keylive
keyrecur.results/instruments/b2/same_as_this/keylive
keyrecur.results/instruments/forced_choice/keylive
keyrecur.results/instruments/motif/partition/expertA/keylive
keyrecur.results/instruments/motif/partition/expertB/keylive
keyrecur.results/instruments/ordinal/keylive
instruments_b2recur.results/instruments_b2live
journeys_moseq · arms · bout_embedding · mderecur.results/journeys_moseq/arms/bout_embedding/reads/mdeprovisionalFAIL
journeys_moseq · arms · bout_embedding_min12 · journeyrecur.results/journeys_moseq/arms/bout_embedding_min12/reads/journeyprovisionalNOT_A_RESULT0.11136957637689915
journeys_moseq · arms · bout_embedding_min12 · mderecur.results/journeys_moseq/arms/bout_embedding_min12/reads/mdeprovisionalPASS
journeys_moseq · arms · bout_embedding_min3 · mderecur.results/journeys_moseq/arms/bout_embedding_min3/reads/mdeprovisionalFAIL
journeys_moseq · arms · bout_embedding_min6 · mderecur.results/journeys_moseq/arms/bout_embedding_min6/reads/mdeprovisionalFAIL
journeys_moseq · arms · bout_futures_min3 · mderecur.results/journeys_moseq/arms/bout_futures_min3/reads/mdeprovisionalFAIL
journeys_moseq · arms · frame_embedding · journeyrecur.results/journeys_moseq/arms/frame_embedding/reads/journeyprovisionalNOT_A_RESULT0.2873956123142012
journeys_moseq · arms · frame_embedding · mderecur.results/journeys_moseq/arms/frame_embedding/reads/mdeprovisionalPASS
journeys_moseq · arms · frame_futures · mderecur.results/journeys_moseq/arms/frame_futures/reads/mdeprovisionalFAIL
journeys_moseq · journeyrecur.results/journeys_moseq/reads/journeyprovisionalNOT_A_RESULT0.2873956123142012
journeys_moseq · mderecur.results/journeys_moseq/reads/mdeprovisionalPASS
journeys_moseq_contaminated · journeyrecur.results/journeys_moseq_contaminated/reads/journeyprovisionalNOT_A_RESULT0.3577956267312473
journeys_moseq_contaminated · mderecur.results/journeys_moseq_contaminated/reads/mdeprovisionalPASS
journeys_nonparam · arms · bout_embedding · mderecur.results/journeys_nonparam/arms/bout_embedding/reads/mdeliveFAIL
journeys_nonparam · arms · bout_embedding_min12 · mderecur.results/journeys_nonparam/arms/bout_embedding_min12/reads/mdeliveFAIL
journeys_nonparam · arms · bout_embedding_min3 · mderecur.results/journeys_nonparam/arms/bout_embedding_min3/reads/mdeliveFAIL
journeys_nonparam · arms · bout_embedding_min6 · mderecur.results/journeys_nonparam/arms/bout_embedding_min6/reads/mdeliveFAIL
journeys_nonparam · arms · bout_futures_min3 · mderecur.results/journeys_nonparam/arms/bout_futures_min3/reads/mdeliveFAIL
journeys_nonparam · arms · frame_embedding · mderecur.results/journeys_nonparam/arms/frame_embedding/reads/mdeliveFAIL
journeys_nonparam · arms · frame_futures · mderecur.results/journeys_nonparam/arms/frame_futures/reads/mdeliveFAIL
journeys_nonparam · mderecur.results/journeys_nonparam/reads/mdeliveFAIL
label_alpha_sweeprecur.results/label_alpha_sweep/readliveNOT_A_RESULT
label_alpha_sweep_ar_wienerrecur.results/label_alpha_sweep_ar_wiener/readliveNOT_A_RESULT
label_alpha_sweep_microstaterecur.results/label_alpha_sweep_microstate/readlivePASS
label_alpha_sweep_phase_wienerrecur.results/label_alpha_sweep_phase_wiener/readliveNOT_A_RESULT
label_moseq_contaminatedrecur.results/label_moseq_contaminatedlive
label_nonparamrecur.results/label_nonparam/readlivePASS0.1398611799281168
label_nonparam_reprorecur.results/label_nonparam_repro/readlivePASS0.1398611799281168
learning_curve · cohortrecur.results/learning_curve/cohortlivePASS
learning_curve · discrimination_bout · grouprecur.results/learning_curve/reads/discrimination_bout/groupliveFAIL
learning_curve · discrimination_bout · mderecur.results/learning_curve/reads/discrimination_bout/mdelivePASS
learning_curve · discrimination_frame · grouprecur.results/learning_curve/reads/discrimination_frame/groupliveFAIL
learning_curve · discrimination_frame · mderecur.results/learning_curve/reads/discrimination_frame/mdelivePASS
learning_curve · stabilisation_bout · grouprecur.results/learning_curve/reads/stabilisation_bout/groupliveFAIL
learning_curve · stabilisation_bout · mderecur.results/learning_curve/reads/stabilisation_bout/mdelivePASS
learning_curve · stabilisation_frame · grouprecur.results/learning_curve/reads/stabilisation_frame/groupliveFAIL
learning_curve · stabilisation_frame · mderecur.results/learning_curve/reads/stabilisation_frame/mdelivePASS
meanskel_moseq · declined to scorerecur.results/meanskel_moseq/no_readlive
meanskel_moseq_b2 · declined to scorerecur.results/meanskel_moseq_b2/no_readlive
meanskel_moseq_b3 · declined to scorerecur.results/meanskel_moseq_b3/no_readlive
meanskel_nonparam · declined to scorerecur.results/meanskel_nonparam/no_readlive
meanskel_nonparam2 · declined to scorerecur.results/meanskel_nonparam2/no_readlive
microstate_N1000_k1recur.results/microstate_N1000_k1/readliveNOT_A_RESULT
microstate_N100_k2recur.results/microstate_N100_k2/readliveNOT_A_RESULT
microstate_N20_k3recur.results/microstate_N20_k3/readlivePASS
microstate_N250_k1recur.results/microstate_N250_k1/readlivePASS
microstate_N32_k3recur.results/microstate_N32_k3/readliveNOT_A_RESULT
microstate_N500_k1recur.results/microstate_N500_k1/readlivePASS
microstate_N60_k2recur.results/microstate_N60_k2/readlivePASS
montage_moseq · selectionrecur.results/montage_moseq/selectionprovisionalPASS
montage_moseq_b2 · selectionrecur.results/montage_moseq_b2/selectionprovisionalPASS
montage_moseq_b3 · selectionrecur.results/montage_moseq_b3/selectionprovisionalPASS
montage_nonparam · selectionrecur.results/montage_nonparam/selectionlivePASS
montage_nonparam2 · selectionrecur.results/montage_nonparam2/selectionlivePASS
moseq_fit_recordingsrecur.results/moseq_fit_recordingslive
motif_clips_moseqrecur.results/motif_clips_moseqprovisional
motif_clips_nonparam · grammar_verdictrecur.results/motif_clips_nonparam/grammar_verdictliveINCONCLUSIVEINCONCLUSIVE
motif_clips_nonparam2recur.results/motif_clips_nonparam2live
motif_partitionrecur.results/motif_partitionprovisional
partition_audit_b2recur.results/partition_audit_b2/readlivePASS
partition_audit_motifrecur.results/partition_audit_motif/readlivePASS
partition_b2recur.results/partition_b2live
q1 · cells · 0 · pca_readrecur.results/q1/cells/0/pca_readlivePASS
q1 · cells · 1 · pca_readrecur.results/q1/cells/1/pca_readlivePASS
q1 · cells · 10 · pca_readrecur.results/q1/cells/10/pca_readlivePASS
q1 · cells · 11 · pca_readrecur.results/q1/cells/11/pca_readlivePASS
q1 · cells · 12 · pca_readrecur.results/q1/cells/12/pca_readlivePASS
q1 · cells · 13 · pca_readrecur.results/q1/cells/13/pca_readlivePASS
q1 · cells · 14 · pca_readrecur.results/q1/cells/14/pca_readliveFAIL
q1 · cells · 15 · pca_readrecur.results/q1/cells/15/pca_readlivePASS
q1 · cells · 16 · pca_readrecur.results/q1/cells/16/pca_readliveFAIL
q1 · cells · 17 · pca_readrecur.results/q1/cells/17/pca_readlivePASS
q1 · cells · 18 · pca_readrecur.results/q1/cells/18/pca_readlivePASS
q1 · cells · 19 · pca_readrecur.results/q1/cells/19/pca_readlivePASS
q1 · cells · 2 · pca_readrecur.results/q1/cells/2/pca_readlivePASS
q1 · cells · 20 · pca_readrecur.results/q1/cells/20/pca_readlivePASS
q1 · cells · 21 · pca_readrecur.results/q1/cells/21/pca_readlivePASS
q1 · cells · 22 · pca_readrecur.results/q1/cells/22/pca_readlivePASS
q1 · cells · 23 · pca_readrecur.results/q1/cells/23/pca_readlivePASS
q1 · cells · 24 · pca_readrecur.results/q1/cells/24/pca_readlivePASS
q1 · cells · 25 · pca_readrecur.results/q1/cells/25/pca_readlivePASS
q1 · cells · 26 · pca_readrecur.results/q1/cells/26/pca_readlivePASS
q1 · cells · 27 · pca_readrecur.results/q1/cells/27/pca_readliveFAIL
q1 · cells · 3 · pca_readrecur.results/q1/cells/3/pca_readlivePASS
q1 · cells · 4 · pca_readrecur.results/q1/cells/4/pca_readlivePASS
q1 · cells · 5 · pca_readrecur.results/q1/cells/5/pca_readlivePASS
q1 · cells · 6 · pca_readrecur.results/q1/cells/6/pca_readlivePASS
q1 · cells · 7 · pca_readrecur.results/q1/cells/7/pca_readlivePASS
q1 · cells · 8 · pca_readrecur.results/q1/cells/8/pca_readlivePASS
q1 · cells · 9 · pca_readrecur.results/q1/cells/9/pca_readlivePASS
q1_exactnessrecur.results/q1_exactness/readlivePASS
q1_verdict · verdictrecur.results/q1_verdict/verdictliveRECURRENCE DETECTEDRECURRENCE DETECTED
ratings · b2/Carlosrecur.results/ratings/b2~1Carlos/readlivePASS
keyrecur.results/ratings/batch1/keylive
key_ordinalrecur.results/ratings/batch1/key_ordinallive
ratersrecur.results/ratings/raterslive
render_gate · alignmentrecur.results/render_gate/alignmentlivePASS
render_gate · availabilityrecur.results/render_gate/availabilitylivePASS
render_gate_nonparam · alignmentrecur.results/render_gate_nonparam/alignmentlivePASS
render_gate_nonparam · availabilityrecur.results/render_gate_nonparam/availabilitylivePASS
render_gate_nonparam2 · alignmentrecur.results/render_gate_nonparam2/alignmentlivePASS
render_gate_nonparam2 · availabilityrecur.results/render_gate_nonparam2/availabilitylivePASS
same_as_this_b2recur.results/same_as_this_b2live
spine · a4recur.results/spine/a4livePASS
spine · anchorrecur.results/spine/anchorlivePASS
spine · axis_angle_precisionrecur.results/spine/axis_angle_precisionlivePASS
spine · bijectionrecur.results/spine/bijectionlivePASS
spine · gauge_stabilityrecur.results/spine/gauge_stabilitylivePASS
spine · inheritancerecur.results/spine/inheritancelivePASS
swaprecur.results/swap/readlivePASS
triage_moseqrecur.results/triage_moseq/readliveFAIL
triage_nonparamrecur.results/triage_nonparam/readlivePASS
Label 0 — usagerecur.usage.moseq.000live0.06982142458559985
Label 1 — usagerecur.usage.moseq.001live0.4169856676884212
Label 2 — usagerecur.usage.moseq.002live0.08990946452872203
Label 3 — usagerecur.usage.moseq.003live0.09405394679698581
Label 4 — usagerecur.usage.moseq.004live0.06119389305478724
Label 5 — usagerecur.usage.moseq.005live0.03693296682155283
Label 6 — usagerecur.usage.moseq.006live0.015154015328957266
Label 7 — usagerecur.usage.moseq.007live0.037569172180215334
Label 8 — usagerecur.usage.moseq.008live0.005018610449307342
Label 9 — usagerecur.usage.moseq.009live0.03474500725510287
Label 10 — usagerecur.usage.moseq.010live0.021500636809223695
Label 11 — usagerecur.usage.moseq.011live0.004934606113824801
Label 12 — usagerecur.usage.moseq.012live0.025310533119335496
Label 13 — usagerecur.usage.moseq.013live0.0052010224195404645
Label 14 — usagerecur.usage.moseq.014live0.004043390788929087
Label 15 — usagerecur.usage.moseq.015live0.009642024783604966
Label 18 — usagerecur.usage.moseq.018live0.005208716107348237
Label 20 — usagerecur.usage.moseq.020live0.00873734550504565
Label 23 — usagerecur.usage.moseq.023live0.0044965132162124435
Label 25 — usagerecur.usage.moseq.025live0.0036078922744146994
Label 26 — usagerecur.usage.moseq.026live0.003090804884543466
Label 27 — usagerecur.usage.moseq.027live0.0035218303247510096
Label 34 — usagerecur.usage.moseq.034live0.01286299613047761
Label 38 — usagerecur.usage.moseq.038live0.0044051730388666764
Label 41 — usagerecur.usage.moseq.041live0.01070505089262658
representation_audit · verdictreversibility-tests.results/representation_audit/verdictliveINDETERMINATEINDETERMINATE
tau_0.0667reversibility-tests.results/seed0/tau_0.0667live
tau_0.1reversibility-tests.results/seed0/tau_0.1live
tau_0.2reversibility-tests.results/seed0/tau_0.2live
tau_0.3reversibility-tests.results/seed0/tau_0.3live
tau_0.5reversibility-tests.results/seed0/tau_0.5live
tau_1reversibility-tests.results/seed0/tau_1live
tau_2reversibility-tests.results/seed0/tau_2live
tau_3reversibility-tests.results/seed0/tau_3live
tau_0.3reversibility-tests.results/seed1/tau_0.3live
tau_0.3reversibility-tests.results/seed2/tau_0.3live
summary · verdictreversibility-tests.results/summary/verdictlive{'verdict': 'B', 'statement': 'B. Operator is non-normal and/or strongly irreversible. Eigenvalue-based metastability analysis was the wrong diagnostic. Rotational structure is present; the prior negative result does not follow.', 'axes_significant': {'non_normality_d_F': False, 'svd_discrepancy': False, 'transient_amplification': False, 'irreversibility_sigma': True, 'dominant_cycles': True}, 'disagreements': [], 'notes': ['normality_d_F clears its effect-size floor only at tau = [0.2]; it is above the null at every lag, so this is a statement about magnitude, not about detectability'], 'per_lag': {'taus': [0.0667, 0.1, 0.2, 0.3, 0.5, 1.0, 2.0, 3.0], 'normality_d_F': {'significant_at': [False, False, True, False, False, False, False, False], 'above_null_at': [True, True, True, True, True, True, True, True], 'quiet_at': [False, False, False, False, False, False, False, False], 'z': [838.1304888594938, 1035.9359481555866, 981.5319519167193, 1109.1125114272845, 658.5683743577615, 500.30349232645426, 534.1431860796116, 431.93428823581723], 'observed': [0.14917575355501445, 0.182238019874387, 0.20881358683760695, 0.17642227728730575, 0.09566329935192178, 0.06706638397236274, 0.06355604222491323, 0.06949778728121954], 'ratio_to_null_mean': [20.347533810519202, 20.603749425652367, 17.767165760060525, 13.061435161442224, 6.17923152036679, 3.672189166664989, 2.826032790305088, 2.7035500361080227], 'absolute_floor': 0.2}, 'conditioning': {'significant_at': [True, True, True, False, False, True, False, True], 'above_null_at': [True, True, True, True, True, True, False, True], 'quiet_at': [False, False, False, False, False, False, False, False], 'z': [7.177534122690087, 7.157609376298093, 13.928593908494818, 12.2871570616404, 85.06873712108991, 94.54967671611966, 3.8538447352581273, 133.06968365695812], 'observed': [2.143092055267903, 2.0836760983818166, 3.166017324299006, 1.4199602367834996, 1.5134583094712744, 2.266424196181126, 1.6556747387982613, 2.0062680508690165], 'ratio_to_null_mean': [1.9763985448300327, 1.9147224713864432, 2.9660819972668215, 1.387605338156008, 1.5002310458584436, 2.241759269996942, 1.5439162031332958, 1.9850424821519257], 'absolute_floor': 2.0}, 'transient_amplification': {'significant_at': [False, False, False, False, False, False, False, False], 'above_null_at': [False, True, True, True, True, True, True, True], 'quiet_at': [False, False, False, False, False, False, False, False], 'z': [4.578694578202367, 35.11929257326458, 40.32623490527528, 346.41301321694436, 731.1636563819657, 566.9116534995521, 375.27024469512554, 337.06899684063643], 'observed': [1.0024095169298186, 1.0068834119912449, 1.0211934001340104, 1.0167283895618793, 1.0100488715649174, 1.005719190415785, 1.0027695051926218, 1.0027483133965422], 'ratio_to_null_mean': [1.0017816942266378, 1.0064932174419465, 1.020661164222381, 1.0165722641055575, 1.0099263595965777, 1.0056087344757927, 1.0026627813586453, 1.0026421902906366], 'absolute_floor': 1.1}, 'svd_discrepancy': {'significant_at': [False, False, False, False, False, False, False, False], 'above_null_at': [True, True, True, True, True, True, True, True], 'quiet_at': [False, False, False, False, False, False, False, False], 'z': [242.3524688339018, 315.3549140462065, 1049.0630944742359, 843.8730274965391, 454.82858343969446, 376.87090071646685, 130.81769501543883, 57.980722741124595], 'observed': [0.0064021371329827026, 0.012807307873706241, 0.031329247689974506, 0.03237780504410445, 0.015412715670773887, 0.013590200924361055, 0.003347009305808445, 0.0036815788398651132], 'ratio_to_null_mean': [140.54876856973, 205.28455773116033, 473.72208047650213, 383.9707334297385, 152.83340575163075, 111.7532522367014, 27.954352743230125, 23.379480858223232], 'absolute_floor': 0.05}, 'irreversibility_sigma': {'significant_at': [True, True, True, True, True, True, True, True], 'above_null_at': [True, True, True, True, True, True, True, True], 'quiet_at': [False, False, False, False, False, False, False, False], 'z': [5575.545183938196, 7599.118354765121, 8016.671061059455, 6607.843781706348, 4789.510272972044, 3208.7683036032913, 2108.0291766185787, 2426.3237904749876], 'observed': [0.19476455463154424, 0.2669629912079536, 0.3572898227695983, 0.361512319188827, 0.2902456983193852, 0.2358871239441176, 0.19335538374100014, 0.1963457738057446]}, 'dominant_cycles': {'significant_at': [True, True, True, True, True, True, True, True], 'counts': [11, 30, 32, 196, 326, 803, 509, 958]}}, 'thresholds': {'z_strong': 5.0, 'z_quiet': 3.0, 'rule': 'exceeds every surrogate replicate AND z > z_strong, at a majority of lags'}}{'verdict': 'B', 'statement': 'B. Operator is non-normal and/or strongly irreversible. Eigenvalue-based metastability analysis was the wrong diagnostic. Rotational structure is present; the prior negative result does not follow.', 'axes_significant': {'non_normality_d_F': False, 'svd_discrepancy': False, 'transient_amplification': False, 'irreversibility_sigma': True, 'dominant_cycles': True}, 'disagreements': [], 'notes': ['normality_d_F clears its effect-size floor only at tau = [0.2]; it is above the null at every lag, so this is a statement about magnitude, not about detectability'], 'per_lag': {'taus': [0.0667, 0.1, 0.2, 0.3, 0.5, 1.0, 2.0, 3.0], 'normality_d_F': {'significant_at': [False, False, True, False, False, False, False, False], 'above_null_at': [True, True, True, True, True, True, True, True], 'quiet_at': [False, False, False, False, False, False, False, False], 'z': [838.1304888594938, 1035.9359481555866, 981.5319519167193, 1109.1125114272845, 658.5683743577615, 500.30349232645426, 534.1431860796116, 431.93428823581723], 'observed': [0.14917575355501445, 0.182238019874387, 0.20881358683760695, 0.17642227728730575, 0.09566329935192178, 0.06706638397236274, 0.06355604222491323, 0.06949778728121954], 'ratio_to_null_mean': [20.347533810519202, 20.603749425652367, 17.767165760060525, 13.061435161442224, 6.17923152036679, 3.672189166664989, 2.826032790305088, 2.7035500361080227], 'absolute_floor': 0.2}, 'conditioning': {'significant_at': [True, True, True, False, False, True, False, True], 'above_null_at': [True, True, True, True, True, True, False, True], 'quiet_at': [False, False, False, False, False, False, False, False], 'z': [7.177534122690087, 7.157609376298093, 13.928593908494818, 12.2871570616404, 85.06873712108991, 94.54967671611966, 3.8538447352581273, 133.06968365695812], 'observed': [2.143092055267903, 2.0836760983818166, 3.166017324299006, 1.4199602367834996, 1.5134583094712744, 2.266424196181126, 1.6556747387982613, 2.0062680508690165], 'ratio_to_null_mean': [1.9763985448300327, 1.9147224713864432, 2.9660819972668215, 1.387605338156008, 1.5002310458584436, 2.241759269996942, 1.5439162031332958, 1.9850424821519257], 'absolute_floor': 2.0}, 'transient_amplification': {'significant_at': [False, False, False, False, False, False, False, False], 'above_null_at': [False, True, True, True, True, True, True, True], 'quiet_at': [False, False, False, False, False, False, False, False], 'z': [4.578694578202367, 35.11929257326458, 40.32623490527528, 346.41301321694436, 731.1636563819657, 566.9116534995521, 375.27024469512554, 337.06899684063643], 'observed': [1.0024095169298186, 1.0068834119912449, 1.0211934001340104, 1.0167283895618793, 1.0100488715649174, 1.005719190415785, 1.0027695051926218, 1.0027483133965422], 'ratio_to_null_mean': [1.0017816942266378, 1.0064932174419465, 1.020661164222381, 1.0165722641055575, 1.0099263595965777, 1.0056087344757927, 1.0026627813586453, 1.0026421902906366], 'absolute_floor': 1.1}, 'svd_discrepancy': {'significant_at': [False, False, False, False, False, False, False, False], 'above_null_at': [True, True, True, True, True, True, True, True], 'quiet_at': [False, False, False, False, False, False, False, False], 'z': [242.3524688339018, 315.3549140462065, 1049.0630944742359, 843.8730274965391, 454.82858343969446, 376.87090071646685, 130.81769501543883, 57.980722741124595], 'observed': [0.0064021371329827026, 0.012807307873706241, 0.031329247689974506, 0.03237780504410445, 0.015412715670773887, 0.013590200924361055, 0.003347009305808445, 0.0036815788398651132], 'ratio_to_null_mean': [140.54876856973, 205.28455773116033, 473.72208047650213, 383.9707334297385, 152.83340575163075, 111.7532522367014, 27.954352743230125, 23.379480858223232], 'absolute_floor': 0.05}, 'irreversibility_sigma': {'significant_at': [True, True, True, True, True, True, True, True], 'above_null_at': [True, True, True, True, True, True, True, True], 'quiet_at': [False, False, False, False, False, False, False, False], 'z': [5575.545183938196, 7599.118354765121, 8016.671061059455, 6607.843781706348, 4789.510272972044, 3208.7683036032913, 2108.0291766185787, 2426.3237904749876], 'observed': [0.19476455463154424, 0.2669629912079536, 0.3572898227695983, 0.361512319188827, 0.2902456983193852, 0.2358871239441176, 0.19335538374100014, 0.1963457738057446]}, 'dominant_cycles': {'significant_at': [True, True, True, True, True, True, True, True], 'counts': [11, 30, 32, 196, 326, 803, 509, 958]}}, 'thresholds': {'z_strong': 5.0, 'z_quiet': 3.0, 'rule': 'exceeds every surrogate replicate AND z > z_strong, at a majority of lags'}}
surrogate_test · representation_audit_verdictreversibility-tests.results/surrogate_test/representation_audit_verdictliveINDETERMINATEINDETERMINATE
surrogate_test · reversal_auditreversibility-tests.results/surrogate_test/reversal_auditlivePASSPASS
surrogate_test · ring_guardreversibility-tests.results/surrogate_test/ring_guardliveFAILFAIL
tier_a · verdictreversibility-tests.results/tier_a/verdictlive['A1 paths identical: yes (same estimator, differing N and M); 2*kappa*M/N: pooled kappa=1.181 R2=-0.560, unmasked-regime kappa=1.580 R2=-0.509 -- bias is NOT subtractable', 'A2 control PASS (max I 0.0023 nats, using full/within_recording/d0.4); estimator SWEEP DID NOT WIDEN (max slope vs log(n_neg) n/a over n_neg to 32768); eta at 0.4 s = 1.024, min 1.024; I(P_L;F) >= 0.463 nats -- NOT A RESULT -- the negative-count sweep never widened, so the bound was never tested. The requested counts span 2,048 to 32,768 but the realized negatives stayed between 120 and 233: this negative-sampling mode cannot supply more, so the slope of I_hat against log(n_neg) is undefined here rather than large. Saturation is not what is being reported -- 0 of 10 estimates sit above 75% of log(n_neg) (max 48%), which argues against the ceiling binding but is not a substitute for the sweep. eta is uncertified rather than shown wrong, and the values are valid LOWER BOUNDS on the mutual information and nothing more.', "A3 largest resolvable operator 256 recording(s): gap median 0.00748 vs matched-budget pooled 0.00864 (ratio 0.87), clears the occupancy null: 0; full pooled(N=30) 0.00842; per-recording paired excess 0.01484 -- group gaps do not exceed what per-recording occupancy heterogeneity alone produces with every dynamic deleted -- only 0.0% clear the occupancy-preserving null, so a group operator's apparent structure is mixture and not dynamics, and the pooled comparison cannot be read as a statement about metastability (largest resolvable operator is 256 recording(s), median gap 0.00748 against a matched-budget pooled 0.00864; by animal the ratio is 1.53)", 'A4 R2(64D) speed 0.9821 / turn 0.9413; R2(132D) speed 1.0000 / turn 1.0000 -- the reduction kept the locomotor channels -- both R^2 clear 0.18; look elsewhere. Note the 132-D baseline is 1.0 by construction (speed and turn ARE two of the eleven input channels), so the informative numbers are the 64-D values and the pose-only block']['A1 paths identical: yes (same estimator, differing N and M); 2*kappa*M/N: pooled kappa=1.181 R2=-0.560, unmasked-regime kappa=1.580 R2=-0.509 -- bias is NOT subtractable', 'A2 control PASS (max I 0.0023 nats, using full/within_recording/d0.4); estimator SWEEP DID NOT WIDEN (max slope vs log(n_neg) n/a over n_neg to 32768); eta at 0.4 s = 1.024, min 1.024; I(P_L;F) >= 0.463 nats -- NOT A RESULT -- the negative-count sweep never widened, so the bound was never tested. The requested counts span 2,048 to 32,768 but the realized negatives stayed between 120 and 233: this negative-sampling mode cannot supply more, so the slope of I_hat against log(n_neg) is undefined here rather than large. Saturation is not what is being reported -- 0 of 10 estimates sit above 75% of log(n_neg) (max 48%), which argues against the ceiling binding but is not a substitute for the sweep. eta is uncertified rather than shown wrong, and the values are valid LOWER BOUNDS on the mutual information and nothing more.', "A3 largest resolvable operator 256 recording(s): gap median 0.00748 vs matched-budget pooled 0.00864 (ratio 0.87), clears the occupancy null: 0; full pooled(N=30) 0.00842; per-recording paired excess 0.01484 -- group gaps do not exceed what per-recording occupancy heterogeneity alone produces with every dynamic deleted -- only 0.0% clear the occupancy-preserving null, so a group operator's apparent structure is mixture and not dynamics, and the pooled comparison cannot be read as a statement about metastability (largest resolvable operator is 256 recording(s), median gap 0.00748 against a matched-budget pooled 0.00864; by animal the ratio is 1.53)", 'A4 R2(64D) speed 0.9821 / turn 0.9413; R2(132D) speed 1.0000 / turn 1.0000 -- the reduction kept the locomotor channels -- both R^2 clear 0.18; look elsewhere. Note the 132-D baseline is 1.0 by construction (speed and turn ARE two of the eleven input channels), so the informative numbers are the 64-D values and the pose-only block']
10. A two-segment fit always finds a knee, including in white noiseshapeflow.ledger.10live
11. The selection changed with the parameter, and the estimate followedshapeflow.ledger.11live
12. A proxy outlived the measurement it stood in forshapeflow.ledger.12live
13. The A4 gate scored a regressor and called it the representationshapeflow.ledger.13live
14. The headline quantity is inflated by observation noise, white or notshapeflow.ledger.14live
15. A function's contract changed and its internals did notshapeflow.ledger.15live
16. The anchor was stamped, not assertedshapeflow.ledger.16live
17. `f_c = null` means two opposite things, and Stage 1 crashed on bothshapeflow.ledger.17live
18. An argparse default silently won an argument, and G2 scored the wrong modelshapeflow.ledger.18live
19. The positive control does not plant what the gate asks forshapeflow.ledger.19live
20. No positive control built from real bouts can reach the gateshapeflow.ledger.20live
21. `Delta_B2` measures non-Gaussianity, not branching -- and the corpus's 9.31 is out of reach of a small branchshapeflow.ledger.21live
22. Two heads recorded under one name, caught by a seed countshapeflow.ledger.22live
23. The control planted its structure in the band the pipeline is built to deleteshapeflow.ledger.23live
24. The committor's endpoints were inside its own curve, and the disagreeing evidence was filtered outshapeflow.ledger.24live
25. A panel named for a property it did not have, and a committor that fires on a known continuumshapeflow.ledger.25live
7. `fit_gauge` returned the conjugate of the gauge it documentedshapeflow.ledger.7live
8. `sigma_from_plateau` integrated the flat band instead of the whole bandshapeflow.ledger.8live
9. The cross-check compared two estimators of different objectsshapeflow.ledger.9live
Open risks, not yet failuresshapeflow.ledger.open-riskslive
b2_baselineshapeflow.results/b2_baselinelive
boundaryshapeflow.results/boundarylive
boundary_globalshapeflow.results/boundary_globallive
calibrationshapeflow.results/calibrationlive
cleanshapeflow.results/cleanlive
clean_thresholdsshapeflow.results/clean_thresholdslive
committorshapeflow.results/committorlive
committor_synth_continuum_d3shapeflow.results/committor_synth_continuum_d3live
dynamicsshapeflow.results/dynamicslive
g3_identityshapeflow.results/g3_identitylive
gatesshapeflow.results/gateslive
gaugeshapeflow.results/gaugelive
keyshapeflow.results/geometry_clips/keylive
ingestshapeflow.results/ingestlive
noise_floorshapeflow.results/noise_floorlive
rareshapeflow.results/rarelive
rendershapeflow.results/renderlive
render_minorityshapeflow.results/render_minoritylive
representshapeflow.results/representlive
rolloutshapeflow.results/rolloutlive
splitsshapeflow.results/splitslive
states_M12shapeflow.results/states_M12live
states_M16shapeflow.results/states_M16live
states_M2shapeflow.results/states_M2live
states_M3shapeflow.results/states_M3live
states_M4shapeflow.results/states_M4live
states_M6shapeflow.results/states_M6live
states_M8shapeflow.results/states_M8live
validateshapeflow.results/validatelive
validate_enrichedshapeflow.results/validate_enrichedlive
validate_margin_cishapeflow.results/validate_margin_cilive
discriminationvieb2-results._report/discriminationsuperseded
discrimination_trunc5381vieb2-results._report/discrimination_trunc5381unverified
model_comparisonvieb2-results._report/model_comparisonunverified
diffusion-HDBSCAN — composite 0.3990767689953003vieb2-results.ranking.diffusion-hdbscanunverified0.3990767689953003
diffusion-Koopman — composite 0.7541123652730197vieb2-results.ranking.diffusion-koopmanunverified0.7541123652730197
MoSeq (reference) — composite 0.7775670983192736vieb2-results.ranking.moseq_referenceunverified0.7775670983192736
pca-HDBSCAN — composite 0.09037413676448952vieb2-results.ranking.pca-hdbscanunverified0.09037413676448952
pca-Koopman — composite 0.27529640171673986vieb2-results.ranking.pca-koopmanunverified0.27529640171673986

Retracted and superseded values render here and nowhere else. Every row opens its record.