{"id":"W2039815777","doi":"10.1167/14.8.21","title":"Aftereffect of motion-in-depth based on binocular cues: Effects of adaptation duration, interocular correlation, and temporal correlation","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Adaptation (eye); Depth perception; Perception; Correlation; Motion perception; Binocular disparity; Motion (physics); Duration (music); Psychology; SIGNAL (programming language); Optics; Communication; Stereopsis; Physics; Audiology; Acoustics; Mathematics; Computer vision; Computer science; Geometry; Neuroscience; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007847998,0.0001099695,0.0002409718,0.0004068518,0.00005115492,0.00002496684,0.00007917854,0.00008935833,0.00001785371],"category_scores_gemma":[0.001262601,0.00009014798,0.00007306979,0.00026279,0.00004651489,0.0003714552,0.00001101266,0.0001591683,0.000004011123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003559615,"about_ca_system_score_gemma":0.00003020713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006022092,"about_ca_topic_score_gemma":0.000003309483,"domain_scores_codex":[0.9982629,0.0004390418,0.0006258624,0.0001520633,0.0004395439,0.00008059213],"domain_scores_gemma":[0.9984703,0.0003956133,0.0007963578,0.000104736,0.0001796833,0.00005333294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007522119,0.000484442,0.01947891,0.0004573596,0.000005539307,0.000007927496,0.001379651,0.03761194,0.893338,0.0005982018,0.00006062227,0.04582525],"study_design_scores_gemma":[0.002233316,0.003101753,0.1062209,0.001335646,0.00002835698,0.00001493479,0.00005966976,0.7601411,0.1256788,0.001031527,0.00004039479,0.0001135414],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6559091,0.00002157086,0.3435549,0.00007356333,0.0002602373,0.0001238488,5.18017e-7,0.000006118401,0.00005009262],"genre_scores_gemma":[0.9984358,0.00001763388,0.001362652,0.0001190983,0.00003332225,0.00000149935,0.000003060806,0.00001128746,0.00001562269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7676591,"threshold_uncertainty_score":0.3676128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175430122434497,"score_gpt":0.2915718670095991,"score_spread":0.2740288547661494,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}