{"id":"W1993314117","doi":"10.1145/2140446.2140448","title":"Accessibility for individuals with color vision deficiency","year":2012,"lang":"en","type":"article","venue":"ACM SIGACCESS Accessibility and Computing","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Color vision; Calibration; Human–computer interaction; Mathematics","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":[0.0007943563,0.0004808575,0.0003322439,0.00103015,0.0006999689,0.001320461,0.0004791081,0.0008367347,0.008364919],"category_scores_gemma":[0.007624987,0.0002035872,0.0005326157,0.0004447073,0.0004708504,0.001499524,0.001365077,0.0005791784,0.0009822325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007563038,"about_ca_system_score_gemma":0.0004503652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008264349,"about_ca_topic_score_gemma":0.006781216,"domain_scores_codex":[0.9996566,0.0001205234,0.00002404962,0.0000723349,0.00007604904,0.0000504565],"domain_scores_gemma":[0.9988692,0.0004446326,0.0001844482,0.0001990013,0.0001781658,0.0001244807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001075611,0.001305426,0.5164965,0.0007214179,0.0001408435,0.004752537,0.01263824,0.00765842,0.007202596,0.01629202,0.02427499,0.4074415],"study_design_scores_gemma":[0.0002172652,0.003470534,0.5842419,0.001421301,0.0006179778,0.03987821,0.02628574,0.1338674,0.01178766,0.1478394,0.05006122,0.00031138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569789,0.00138506,0.01546123,0.002436078,0.00007582622,0.0001137681,0.0004836105,0.0004359446,0.02262952],"genre_scores_gemma":[0.9916161,0.0006161803,0.004583935,0.0001587979,0.00001028237,0.00004217523,0.0002392477,0.00003104224,0.002702307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008364919,"threshold_uncertainty_score":0.02798343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08334729475526746,"score_gpt":0.3853839731458157,"score_spread":0.3020366783905483,"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."}}