{"id":"W2982183862","doi":"10.1167/19.12.21","title":"Misperception of motion in depth originates from an incomplete transformation of retinal signals","year":2019,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer vision; Monocular; Artificial intelligence; Binocular disparity; Eye movement; Binocular vision; Gaze; Depth perception; Computer science; Vergence (optics); Perception; Stereopsis; Percept; Reference frame; Motion perception; Binocular rivalry; Motion (physics); Visual perception; Psychology; Frame (networking); Neuroscience","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":[0.0008209668,0.0005259,0.0003269643,0.0002714875,0.0002021553,0.0007540894,0.0003325681,0.0004049516,0.001175912],"category_scores_gemma":[0.005373896,0.0003452119,0.0003729207,0.0001883889,0.00047816,0.001156198,0.0007321998,0.0004410597,0.0001496028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003125991,"about_ca_system_score_gemma":0.0003901465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001866368,"about_ca_topic_score_gemma":0.001744244,"domain_scores_codex":[0.9992623,0.0001659245,0.00007380389,0.0002054686,0.0002345536,0.0000579615],"domain_scores_gemma":[0.9983254,0.0005099499,0.0004727444,0.0004172983,0.0002123518,0.00006237072],"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":[0.0008569527,0.00005536062,0.04091876,0.0006177487,0.0001505366,0.0003362149,0.002211471,0.005759663,0.8812618,0.007221074,0.0002739422,0.06033655],"study_design_scores_gemma":[0.00008574715,0.001095666,0.5709084,0.0001941559,0.00020247,0.00159329,0.002347393,0.07934856,0.3211483,0.01914958,0.003744778,0.0001816304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9296047,0.0003974789,0.06855748,0.0001212133,0.00002633809,0.0000295529,0.0001569281,0.0001638905,0.0009423963],"genre_scores_gemma":[0.9924499,0.0001038001,0.00721214,0.00002294776,0.000003526286,0.00001121621,0.00007197833,0.00001649376,0.0001080721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001866368,"threshold_uncertainty_score":0.004341722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04728523089418458,"score_gpt":0.3598600681263189,"score_spread":0.3125748372321343,"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."}}