{"id":"W2806756654","doi":"10.1002/sdtp.12152","title":"P‐29: Mitigating Color Deficiency in Graphical Display","year":2018,"lang":"en","type":"article","venue":"SID Symposium Digest of Technical Papers","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Crosslight Software (Canada)","funders":"","keywords":"Palette (painting); Computer science; Graphical display; Perception; Computer graphics (images); Computer vision; Artificial intelligence; Human–computer interaction; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004683624,0.0005701839,0.0002964081,0.0004612867,0.0003616135,0.0007833104,0.001579927,0.0006066808,0.006160198],"category_scores_gemma":[0.002725598,0.0002620416,0.0003284684,0.0002667178,0.0004685862,0.001138096,0.001059638,0.0008880736,0.00168167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465861,"about_ca_system_score_gemma":0.0003224802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004229068,"about_ca_topic_score_gemma":0.0004479574,"domain_scores_codex":[0.999713,0.00004828655,0.00001848422,0.00007695167,0.0001095383,0.00003376501],"domain_scores_gemma":[0.9988648,0.000306659,0.0001224509,0.0003449121,0.0002733512,0.0000878209],"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":[0.0006298842,0.0001762664,0.001246159,0.0002984755,0.00003565258,0.0004436547,0.0003219479,0.002616126,0.6658227,0.003257703,0.003053467,0.322098],"study_design_scores_gemma":[0.0001732547,0.001748953,0.007868226,0.00006254653,0.000128336,0.003221232,0.0001714169,0.08324972,0.8623038,0.005813623,0.03513853,0.0001204506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1145676,0.0003450048,0.8667688,0.0004045365,0.0001987053,0.0001731816,0.00009697632,0.01172738,0.005717731],"genre_scores_gemma":[0.4988985,0.0003736498,0.4931275,0.0002791294,0.00009479924,0.0001418528,0.0001266737,0.000872968,0.006084871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006160198,"threshold_uncertainty_score":0.02060795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312854669084777,"score_gpt":0.3025159113590047,"score_spread":0.2793873646681569,"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."}}