{"id":"W4379806263","doi":"10.1016/j.visres.2023.108261","title":"Binocular properties of contrast adaptation in human vision","year":2023,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Contrast (vision); Monocular; Adaptation (eye); Binocular vision; Binocular disparity; Optics; Monocular vision; Artificial intelligence; Computer science; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00182466,0.00007126824,0.0001212349,0.0007659807,0.0002478159,0.00008976417,0.0002322658,0.00007201897,0.0001808513],"category_scores_gemma":[0.000693414,0.00005687368,0.00003064159,0.001721489,0.0001722693,0.0002240254,0.0001244912,0.0002518345,0.0004041141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003116273,"about_ca_system_score_gemma":0.0000546415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008865924,"about_ca_topic_score_gemma":0.00002155165,"domain_scores_codex":[0.997649,0.000516988,0.000250537,0.0003190377,0.0009565644,0.0003078316],"domain_scores_gemma":[0.9994643,0.0001104513,0.00003764428,0.0001846501,0.0001402237,0.00006274664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004870965,0.00008550506,0.00002878592,0.00005883057,3.157168e-7,0.000008924983,0.000996271,0.0001175447,0.9844899,0.001287347,0.0003494399,0.01252842],"study_design_scores_gemma":[0.000514133,0.0005103361,0.002231115,0.0002742374,5.929395e-7,0.000001265141,0.001013236,0.04119164,0.9513324,0.002062597,0.0007822004,0.00008621496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978644,0.00002217424,0.0001511723,0.000523645,0.00006231183,0.000270309,0.000002223601,0.00007838228,0.001025396],"genre_scores_gemma":[0.9985062,0.00006223971,0.00003060303,0.00004943722,0.00001989445,0.00002216352,0.000002965648,0.00001463522,0.001291829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0410741,"threshold_uncertainty_score":0.5194204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3504482974233748,"score_gpt":0.4842739508387692,"score_spread":0.1338256534153944,"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."}}