{"id":"W4311802946","doi":"10.1167/jov.22.14.3575","title":"Effect of Binocular Disparity on Detecting Target Motion during Locomotion","year":2022,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Monocular; Binocular disparity; Computer vision; Artificial intelligence; Stereoscopy; Computer science; Optical flow; Binocular vision; Stereopsis","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":[0.0005110452,0.000256086,0.0002191136,0.000199253,0.0001002419,0.0002676619,0.0001289692,0.0003104604,0.001395587],"category_scores_gemma":[0.004516275,0.0001817346,0.0001737339,0.00006240268,0.0002290223,0.0003308541,0.000449705,0.0002949386,0.00009051469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001362965,"about_ca_system_score_gemma":0.0001455676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232878,"about_ca_topic_score_gemma":0.001395211,"domain_scores_codex":[0.9997314,0.00007786693,0.00002565251,0.00005080533,0.00006520779,0.00004918383],"domain_scores_gemma":[0.9979249,0.001346452,0.000279986,0.0001093826,0.0001640327,0.0001751082],"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":[0.004169722,0.0001100437,0.02295936,0.0001172166,0.00003208751,0.000155275,0.0003085086,0.0004655613,0.9579453,0.0001074267,0.00007672548,0.01355278],"study_design_scores_gemma":[0.0002630642,0.006707132,0.7848455,0.00004120459,0.0001655895,0.0007522492,0.0004083002,0.00980814,0.1957724,0.0005322701,0.0006437385,0.00006050845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990385,0.00005614887,0.0005147336,0.00001195941,0.000003414292,0.000007673415,0.00002007883,0.00000590832,0.0003415904],"genre_scores_gemma":[0.9991949,0.00003627447,0.0006029528,0.00001486156,0.000002624708,0.000007524999,0.00002829964,0.000002784374,0.0001097528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001395587,"threshold_uncertainty_score":0.004668713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176728383349416,"score_gpt":0.3264918217865292,"score_spread":0.304724537953035,"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."}}