{"id":"W3024680243","doi":"10.3389/fnhum.2019.00106","title":"The Binocular Balance at High Spatial Frequencies as Revealed by the Binocular Orientation Combination Task","year":2019,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China; Canadian Institutes of Health Research; Ministry of Human Resources and Social Security; National Natural Science Foundation of China; Natural Science Foundation of Zhejiang Province; Higher Education Discipline Innovation Project; Wenzhou Medical University","keywords":"Binocular vision; Binocular disparity; Stereopsis; Balance (ability); Orientation (vector space); Percept; Optics; Spatial frequency; Artificial intelligence; Optometry; Computer science; Psychology; Mathematics; Physics; Perception; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005786273,0.000407422,0.0003678428,0.0005891524,0.0001677887,0.0002904312,0.0001920086,0.0003109165,0.00109773],"category_scores_gemma":[0.00192292,0.0001663321,0.0001336385,0.0002066251,0.0002370655,0.0003965241,0.0004646336,0.0002521584,0.0001873335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009585987,"about_ca_system_score_gemma":0.0001324859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005960503,"about_ca_topic_score_gemma":0.0009100981,"domain_scores_codex":[0.9996245,0.00005694427,0.00004172335,0.0001042986,0.0001363495,0.00003625222],"domain_scores_gemma":[0.9992623,0.0002126226,0.0002174926,0.00008709321,0.0001137776,0.0001067471],"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":[0.003852769,0.0002619395,0.05477247,0.0001640115,0.00008652919,0.0003839173,0.0003775428,0.0004560755,0.8983003,0.0001641592,0.0002323569,0.04094786],"study_design_scores_gemma":[0.0001973933,0.004222471,0.8887029,0.00002390401,0.00008972289,0.002450762,0.0002141742,0.006319893,0.09678152,0.0003941201,0.0005523328,0.00005076934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965398,0.0001095239,0.002790634,0.000009585588,0.000005697289,0.00003212849,0.0000848975,0.00001656949,0.0004111956],"genre_scores_gemma":[0.9975273,0.00005671079,0.002115266,0.00001290026,0.000007519034,0.00002300442,0.0000754964,0.000004858154,0.0001769445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00109773,"threshold_uncertainty_score":0.003672302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748070544754177,"score_gpt":0.2722944916227983,"score_spread":0.2548137861752565,"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."}}