{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006283808,0.0004468145,0.0003281485,0.0008011665,0.0002228256,0.001148911,0.0009678151,0.0003827795,0.006746958],"category_scores_gemma":[0.003294401,0.0003158432,0.0004148696,0.0005801666,0.0004742784,0.0007457713,0.0009487989,0.0007030654,0.001498748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138701,"about_ca_system_score_gemma":0.0003044974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005199384,"about_ca_topic_score_gemma":0.0004856275,"domain_scores_codex":[0.9993892,0.000140963,0.00002898373,0.0001137084,0.0002797611,0.00004746755],"domain_scores_gemma":[0.9979246,0.0005070711,0.0001073752,0.001021901,0.0003766377,0.00006243142],"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":[0.0004323755,0.00008224871,0.0008204357,0.0001812602,0.00004164196,0.0002880495,0.0004355988,0.01068751,0.7166572,0.009090767,0.002576304,0.2587067],"study_design_scores_gemma":[0.0001007644,0.0005974692,0.006309516,0.00006143565,0.00008329693,0.001826693,0.0001452422,0.08205177,0.8782059,0.00381267,0.02666058,0.000144707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09859373,0.0002624991,0.8899369,0.0001122204,0.0001103887,0.0001464416,0.0002074608,0.003194711,0.007435597],"genre_scores_gemma":[0.4235813,0.0003565326,0.5688019,0.00007966189,0.00004982372,0.0001275306,0.000230969,0.000696571,0.006075745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006746958,"threshold_uncertainty_score":0.02257079,"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."}}