{"id":"W2093299970","doi":"10.1002/col.20344","title":"Faithful representation of colours on a CRT monitor","year":2007,"lang":"en","type":"article","venue":"Color Research & Application","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; RGB color model; Image (mathematics); Representation (politics); Computer graphics (images); Frame (networking); Digital camera; Transformation (genetics); Digital image; Image processing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001155244,0.00008129002,0.0001200935,0.0001994706,0.0002601743,0.00003537221,0.0003513039,0.00003612755,0.00008092583],"category_scores_gemma":[0.00003590176,0.00007881514,0.00005689809,0.001320347,0.0002048529,0.0001058373,0.00007028819,0.0002063608,0.0002428654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007130968,"about_ca_system_score_gemma":0.00007257848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003396005,"about_ca_topic_score_gemma":0.0000207027,"domain_scores_codex":[0.998462,0.00005272675,0.0002609603,0.0003463964,0.0005407902,0.0003371398],"domain_scores_gemma":[0.9984908,0.0004114022,0.0001137106,0.0004828497,0.0003850355,0.0001161972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002364757,0.001010494,0.04241161,0.0000161685,0.00003081654,6.884592e-7,0.0006350906,0.0005844828,0.2734138,0.3080602,0.005337581,0.3682625],"study_design_scores_gemma":[0.0008803866,0.000596135,0.2633852,0.00003247953,0.00001913889,6.765106e-7,0.004028158,0.008044075,0.6503038,0.03789857,0.03448994,0.0003214662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574028,0.000006189677,0.0164266,0.0007316823,0.00002734988,0.001110988,0.00001494254,0.00002791851,0.02425149],"genre_scores_gemma":[0.998104,0.000002365268,0.0004877353,0.00001727685,0.0001965597,0.0006339331,0.00003911629,0.000009845019,0.0005091432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3768899,"threshold_uncertainty_score":0.3213988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06672096224678076,"score_gpt":0.4566373908142491,"score_spread":0.3899164285674683,"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."}}