{"id":"W4402905880","doi":"10.1167/jov.24.10.1374","title":"Binocular depth information modulates object-selective activation in high-level visual cortex","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; York University","funders":"","keywords":"Visual cortex; Depth perception; Cortex (anatomy); Object (grammar); Neuroscience; Binocular disparity; Computer science; Communication; Psychology; Binocular vision; Computer vision; Artificial intelligence; Perception","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009754801,0.0001903972,0.0002101594,0.0002061568,0.000105265,0.0002856598,0.0001469659,0.000175221,0.002257337],"category_scores_gemma":[0.0005638062,0.0001522943,0.0001463978,0.00009255589,0.0002147257,0.0002404223,0.0003683734,0.0002323445,0.0001035127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002279211,"about_ca_system_score_gemma":0.0001971766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352372,"about_ca_topic_score_gemma":0.001638204,"domain_scores_codex":[0.999911,0.00001032743,0.000002936175,0.00002127585,0.00002118224,0.00003323638],"domain_scores_gemma":[0.9998752,0.00003720835,0.00003273001,0.000008426053,0.00001244051,0.00003394223],"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":[0.000410222,0.00002499023,0.001256809,0.00006346732,0.00001058414,0.0000666286,0.00007596007,0.00008002816,0.9929273,0.00008655411,0.00008754055,0.004910009],"study_design_scores_gemma":[0.0001753066,0.0008627634,0.8262763,0.00004531335,0.00007983858,0.0004791896,0.0002551696,0.003467205,0.1653591,0.001722016,0.001256358,0.0000214233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968526,0.0002484847,0.001357912,0.00006339528,0.00001091938,0.00001550296,0.0001449375,0.00002767795,0.001278555],"genre_scores_gemma":[0.9983318,0.0002014496,0.0006938865,0.00006671743,0.000009082031,0.00002027897,0.0001078195,0.00001774454,0.0005512665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002257337,"threshold_uncertainty_score":0.007551551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404514373974914,"score_gpt":0.3411384873796651,"score_spread":0.307093343639916,"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."}}