{"id":"W2008105860","doi":"10.1167/4.11.77","title":"Discriminant analysis of clinical color vision tests and color related tasks","year":2004,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Color vision; Linear discriminant analysis; Task (project management); Color Vision Defects; Artificial intelligence; Test (biology); Color analysis; Statistics; Pattern recognition (psychology); Psychology; Mathematics; Computer science; Engineering","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":[0.001463938,0.0007581674,0.0003693145,0.001064188,0.0002107566,0.000340063,0.0002834617,0.0003759594,0.00175975],"category_scores_gemma":[0.009287683,0.0001125049,0.0003552785,0.000348884,0.0004819967,0.0003317704,0.0003963529,0.000412334,0.0005475675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002525816,"about_ca_system_score_gemma":0.0003165621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001407282,"about_ca_topic_score_gemma":0.0008732333,"domain_scores_codex":[0.9993194,0.0002721802,0.00006389279,0.0001234508,0.0001671804,0.0000539262],"domain_scores_gemma":[0.992407,0.004992601,0.0009110537,0.0003838664,0.0008382773,0.000467107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006471666,0.0001080092,0.9860771,0.0000163163,0.00008392687,0.00006677872,0.00006988219,0.0007517473,0.000961608,0.00005309086,0.0002268079,0.01093772],"study_design_scores_gemma":[0.00005446072,0.0008116814,0.981323,0.00001465767,0.000058097,0.0007040973,0.0001522007,0.01449588,0.001587366,0.0004220359,0.0003625237,0.00001399662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978991,0.00009000746,0.001399153,0.00003027305,0.000008751083,0.00001439567,0.0001132683,0.00001586921,0.0004291171],"genre_scores_gemma":[0.9992448,0.00001641365,0.0003940761,0.000006279596,0.000004792889,0.000009459552,0.0001724565,0.000004267725,0.0001475168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00175975,"threshold_uncertainty_score":0.007742107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253202366575587,"score_gpt":0.4153384848886458,"score_spread":0.3900182482310871,"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."}}