{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002196003,0.00008774891,0.0001844336,0.0005160393,0.0001862854,0.0005149266,0.0001550693,0.0002098621,0.001930277],"category_scores_gemma":[0.003488434,0.0001486817,0.0001537947,0.0003811836,0.000264583,0.0004770579,0.0002547979,0.0003355767,0.0002028856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002456989,"about_ca_system_score_gemma":0.0001933224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001310551,"about_ca_topic_score_gemma":0.001485884,"domain_scores_codex":[0.9999249,0.00001919275,0.000003671044,0.00001114156,0.00002818403,0.00001294367],"domain_scores_gemma":[0.9992402,0.0005346058,0.0000520141,0.0000416592,0.00007828911,0.00005324641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001525004,0.0001349463,0.01777005,0.0002836372,0.0001131846,0.0004094468,0.0003659477,0.004907239,0.858936,0.02613382,0.001345834,0.08807493],"study_design_scores_gemma":[0.0001276713,0.0005036392,0.7955064,0.00006310148,0.0001275897,0.003123765,0.0003362244,0.0808594,0.07761474,0.03875773,0.002901241,0.00007854019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655903,0.001611705,0.02162903,0.0001639321,0.00002849226,0.00003309077,0.0002256479,0.0001117255,0.01060607],"genre_scores_gemma":[0.9984445,0.0001871806,0.0009817249,0.00002746426,0.00001614607,0.000006138529,0.00006050156,0.00002774659,0.0002485885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001930277,"threshold_uncertainty_score":0.006457388,"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."}}