{"id":"W2091544218","doi":"10.1016/s0042-6989(01)00227-9","title":"Motion-surface labeling by orientation, spatial frequency and luminance polarity in 3-D structure-from-motion","year":2001,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Percept; Orientation (vector space); Rotation (mathematics); Luminance; Motion (physics); Feature (linguistics); Cylinder; Optics; Polarity (international relations); Physics; Geometry; Artificial intelligence; Computer vision; Perception; Mathematics; Computer science; Psychology; Classical mechanics; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007640955,0.0001120562,0.0001173511,0.0001577225,0.0004329392,0.0002063063,0.000193543,0.0001256011,0.0006462565],"category_scores_gemma":[0.0007808456,0.0001075251,0.00001478297,0.0008696356,0.0001418955,0.0004170352,0.00008563617,0.0004755019,0.00007077635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007940769,"about_ca_system_score_gemma":0.00004357794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880517,"about_ca_topic_score_gemma":0.0002826817,"domain_scores_codex":[0.9975793,0.00048087,0.000240115,0.0005850921,0.0007648941,0.0003497199],"domain_scores_gemma":[0.9993078,0.000178865,0.00005199738,0.000195973,0.0001503392,0.000115021],"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":[0.00003243228,0.00007607119,0.009480193,0.00001285952,3.582447e-7,0.000008384528,0.0005113299,0.0000197878,0.9577038,0.0003970512,0.0001384045,0.0316193],"study_design_scores_gemma":[0.002349606,0.000578448,0.1301606,0.0002260843,0.000004552542,0.00002792223,0.0007030001,0.03434232,0.7760205,0.05326091,0.001757054,0.000568996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910153,0.00009717542,0.007389437,0.0007541346,0.0001691418,0.0002150151,0.00004253638,0.00004358773,0.0002736656],"genre_scores_gemma":[0.9983812,0.0002282074,0.0008323911,0.0001670449,0.00005245872,0.000003802711,0.00002437687,0.00001478734,0.000295759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1816833,"threshold_uncertainty_score":0.7076055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07641458413872372,"score_gpt":0.4161762382660185,"score_spread":0.3397616541272948,"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."}}