{"id":"W2403186868","doi":"10.2352/cic.2006.14.1.art00057","title":"Multispectral Colour Constancy","year":2006,"lang":"en","type":"article","venue":"Color and Imaging Conference","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burnaby Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multispectral image; RGB color model; Computer science; Artificial intelligence; Computer vision; Color constancy; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001516063,0.0003489018,0.0004833305,0.0005551232,0.0003171896,0.0009400733,0.0007105383,0.0005590293,0.004404295],"category_scores_gemma":[0.007561831,0.0003100661,0.0005461425,0.000735316,0.0003997853,0.002400591,0.0007638519,0.0005981615,0.001292629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004149377,"about_ca_system_score_gemma":0.0002747827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207374,"about_ca_topic_score_gemma":0.00126791,"domain_scores_codex":[0.999011,0.0002218718,0.00004604339,0.0002666301,0.0003238549,0.0001305883],"domain_scores_gemma":[0.9950824,0.001507243,0.0005411006,0.001481853,0.001221061,0.0001663099],"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":[0.003018279,0.0002945625,0.02216085,0.0004518385,0.000195396,0.000147383,0.0002320492,0.03591765,0.5375583,0.004755371,0.002413366,0.3928551],"study_design_scores_gemma":[0.0001221123,0.000907025,0.1036281,0.00009560219,0.0002310739,0.001337806,0.0001552606,0.25822,0.6208863,0.005221146,0.008990335,0.0002050706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6601573,0.0007733657,0.3232594,0.0005458584,0.0001833029,0.00008804089,0.0003647571,0.003016003,0.01161205],"genre_scores_gemma":[0.8879915,0.0002545394,0.1088827,0.0002640702,0.00004652655,0.00004199189,0.0003830326,0.0002897598,0.001845828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004404295,"threshold_uncertainty_score":0.01473385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004748952167981505,"score_gpt":0.2257697375758956,"score_spread":0.221020785407914,"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."}}