{"id":"W1975710367","doi":"10.1016/s0042-6989(02)00067-6","title":"Texture-orientation mechanisms pool colour and luminance contrast","year":2002,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Luminance; Contrast (vision); Chromatic scale; Optics; Orientation (vector space); Texture (cosmology); Psychophysics; Artificial intelligence; Computer vision; Physics; Mathematics; Computer science; Psychology; Perception; Geometry; Neuroscience; Image (mathematics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008211265,0.0001059007,0.0001163422,0.000207596,0.0006237354,0.0002430361,0.0001991068,0.00009931684,0.001771522],"category_scores_gemma":[0.000734541,0.00009168356,0.00002389251,0.0006084149,0.0001864266,0.0002593427,0.00010155,0.0003458764,0.0009173352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003487794,"about_ca_system_score_gemma":0.00001765975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001127529,"about_ca_topic_score_gemma":0.000004267502,"domain_scores_codex":[0.9977397,0.0003568918,0.0001701367,0.0005027864,0.000833063,0.0003974305],"domain_scores_gemma":[0.9992089,0.0002560416,0.0000429274,0.0001914118,0.0001343375,0.0001663275],"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":[0.00003256787,0.0001014516,0.000008387448,0.00002073176,5.700953e-7,0.00001795731,0.0005916423,0.000001594479,0.9082623,0.02026437,0.003894929,0.06680354],"study_design_scores_gemma":[0.001923681,0.001878489,0.002075018,0.0001483475,0.000005731059,0.0001026053,0.001102796,0.07851551,0.8602527,0.02882359,0.02472124,0.0004502859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504353,0.0002008867,0.02561837,0.005205328,0.0005638491,0.001028376,0.00002418945,0.0002592602,0.0166644],"genre_scores_gemma":[0.989535,0.000231084,0.0003810601,0.0007246158,0.00004798098,0.00002960185,0.000001253782,0.00001721825,0.009032124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07851391,"threshold_uncertainty_score":0.9998606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.13650541590004,"score_gpt":0.424952925618742,"score_spread":0.2884475097187019,"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."}}