{"id":"W2784688312","doi":"10.1167/18.1.11","title":"Interocular correlation sensitivity and its relationship with stereopsis","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Correlation; Sensitivity (control systems); Binocular disparity; Stereopsis; Contrast (vision); Stimulus (psychology); Stereoscopy; Psychophysics; Spatial frequency; Optics; Mathematics; Artificial intelligence; Audiology; Computer vision; Physics; Psychology; Computer science; Perception; Medicine; Neuroscience; Cognitive psychology; Geometry","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":[0.0004021191,0.00005757231,0.00008545084,0.00009986457,0.000149769,0.000059356,0.00003483858,0.0000416775,0.0000431989],"category_scores_gemma":[0.00035105,0.00003997066,0.0000202293,0.0001345918,0.00004170094,0.0004577338,0.00001776084,0.0001445389,0.00003301801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001702239,"about_ca_system_score_gemma":0.00001782983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.843716e-7,"about_ca_topic_score_gemma":0.000002361974,"domain_scores_codex":[0.999302,0.0001471727,0.0001625923,0.00009667909,0.0002251501,0.00006644785],"domain_scores_gemma":[0.9994205,0.0001196214,0.0002054502,0.0000476542,0.0001455601,0.00006127167],"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":[0.0002516374,0.00004855399,0.002182567,0.00001279164,0.000002094648,0.00002273535,0.0008487437,0.00002346363,0.9876455,0.0005572017,0.000115307,0.008289384],"study_design_scores_gemma":[0.002809002,0.008222501,0.3772989,0.001236756,0.00009349635,0.003552872,0.0005329174,0.09989987,0.5013697,0.002983189,0.001551376,0.0004494402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727948,0.00001387338,0.02640536,0.0003073994,0.0001757215,0.00003580448,5.569111e-7,0.0000100143,0.0002565073],"genre_scores_gemma":[0.9988191,0.00001011599,0.0006085208,0.0002906854,0.00009550203,1.222326e-7,1.54073e-7,0.000006350263,0.0001694378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4862759,"threshold_uncertainty_score":0.1629956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05804695367361754,"score_gpt":0.342467399053413,"score_spread":0.2844204453797955,"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."}}