{"id":"W3122211649","doi":"10.1002/col.22620","title":"Color appearance model incorporating contrast adaptation—Implications for individual differences in color vision","year":2021,"lang":"en","type":"article","venue":"Color Research & Application","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Eye Institute","keywords":"Observer (physics); Artificial intelligence; Chromatic adaptation; Contrast (vision); Color vision; Computer vision; Computer science; Color difference; Active appearance model; Color model; Mathematics; Perception; Adaptation (eye); Color space; Optics; Psychology","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":[0.001233641,0.0004536917,0.0004367995,0.0003123894,0.0002454991,0.0009116681,0.001102117,0.0006627328,0.001660736],"category_scores_gemma":[0.005159809,0.0002978281,0.0008545435,0.0002010356,0.0006231801,0.00121754,0.000621828,0.00122571,0.0004096805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007849075,"about_ca_system_score_gemma":0.0004936389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00348585,"about_ca_topic_score_gemma":0.002047565,"domain_scores_codex":[0.999587,0.0001120279,0.00001392301,0.000159926,0.0000906745,0.00003646021],"domain_scores_gemma":[0.9985468,0.0005805771,0.000141549,0.0003467463,0.0002757186,0.0001085904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000375268,0.0003862903,0.02656019,0.0001139818,0.0002779666,0.0004584778,0.0005913018,0.7278422,0.09740278,0.07224143,0.002499131,0.07125099],"study_design_scores_gemma":[0.00001140357,0.00005216877,0.004209973,0.00000332656,0.00001957979,0.00008305191,0.00001129058,0.9834945,0.001887741,0.009554788,0.0006510491,0.00002122988],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2614015,0.0001675148,0.7295667,0.0009172724,0.0001452029,0.00009505636,0.0001553994,0.0007134152,0.006837906],"genre_scores_gemma":[0.9399253,0.00007374082,0.05679566,0.0001804081,0.00002584114,0.00007642747,0.00006920429,0.0001488342,0.002704462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00348585,"threshold_uncertainty_score":0.006931126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1409968214861772,"score_gpt":0.4140828665720772,"score_spread":0.2730860450859,"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."}}