{"id":"W2082330670","doi":"10.1364/josaa.22.000038","title":"Integration, segregation, and binocular combination","year":2005,"lang":"en","type":"article","venue":"Journal of the Optical Society of America A","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ocular dominance; Orientation (vector space); Computer science; Binocular disparity; Artificial intelligence; Computer vision; Binocular vision; Coding (social sciences); Mathematics; Psychology; Visual cortex; Geometry; Neuroscience; Statistics","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":[0.0002108549,0.00005602172,0.0001161783,0.00001667089,0.0001125493,0.0000327683,0.0001393383,0.00003747549,0.00004838466],"category_scores_gemma":[0.0003128649,0.00003442041,0.0001318408,0.0002001651,0.0002331596,0.0001928596,0.00002963872,0.0001638279,0.000003975283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002854591,"about_ca_system_score_gemma":0.00003214723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001310199,"about_ca_topic_score_gemma":8.00059e-8,"domain_scores_codex":[0.9992535,0.00005741703,0.0002494401,0.00006956324,0.0002987267,0.00007139935],"domain_scores_gemma":[0.9993887,0.00007888573,0.0002821197,0.00006567877,0.0001346639,0.00004995166],"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":[0.00001786801,0.0001462617,0.00003548427,0.00001264347,0.000007363728,1.525351e-7,0.001905421,0.0001098369,0.9157089,0.00299138,0.002564502,0.07650017],"study_design_scores_gemma":[0.001367064,0.0006957439,0.003392805,0.0001620345,0.00007364092,0.0001673841,0.001913251,0.06129984,0.898409,0.01657002,0.01574249,0.00020669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8470457,0.00008993511,0.09929313,0.05233433,0.0002285243,0.0001262021,0.000001790144,0.00001721724,0.0008631196],"genre_scores_gemma":[0.9713315,0.000123954,0.02533121,0.002996065,0.00004998934,4.178045e-7,1.045695e-7,0.000004676136,0.0001620388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1242858,"threshold_uncertainty_score":0.1403624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596164918493417,"score_gpt":0.2948004242572013,"score_spread":0.2688387750722671,"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."}}