{"id":"W2063830896","doi":"10.1002/col.21811","title":"Chromaticity‐matched but spectrally different light source effects on simple and complex color judgments","year":2013,"lang":"en","type":"article","venue":"Color Research & Application","topic":"Color perception and design","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Office of Energy Efficiency; Natural Sciences and Engineering Research Council of Canada; BC Hydro; Natural Resources Canada; Cardiff University","keywords":"Chromaticity; Color rendering index; Illuminance; Hue; Incandescent light bulb; Color temperature; Optics; Color vision; Rendering (computer graphics); Cyan; RGB color model; Spectral power distribution; Spectral color; Primary color; High color; Light source; Gamut; Mathematics; Light-emitting diode; Artificial intelligence; Computer science; Physics; Color space; Color model","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000925679,0.0002903072,0.0001919416,0.0002688371,0.0001240154,0.0005422578,0.000232382,0.0002855016,0.005222285],"category_scores_gemma":[0.006548707,0.0002376344,0.0001940993,0.0001186869,0.0003294393,0.0003916706,0.000615067,0.0002943649,0.0003594564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001824903,"about_ca_system_score_gemma":0.0001189409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007974595,"about_ca_topic_score_gemma":0.0005531718,"domain_scores_codex":[0.9994122,0.0002207313,0.00005174942,0.0001149611,0.00015573,0.00004473963],"domain_scores_gemma":[0.9935355,0.00453349,0.0005055429,0.0005337082,0.0005058689,0.0003859864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005259476,0.000536802,0.007720324,0.0001249773,0.00005778608,0.00007463276,0.0002816463,0.001060728,0.9684116,0.000224121,0.000140139,0.01610763],"study_design_scores_gemma":[0.0006062917,0.007039244,0.5933883,0.00005543501,0.000195385,0.0003793932,0.0004293786,0.01200869,0.3830135,0.00102652,0.001771833,0.00008604615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997903,0.00003403979,0.0008274385,0.000006853179,0.000007995538,0.00001814324,0.00003142982,0.0000266039,0.001144451],"genre_scores_gemma":[0.9976476,0.00002782371,0.001351649,0.00002667653,0.000004138451,0.00002610839,0.00005177523,0.0000319516,0.0008322895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005222285,"threshold_uncertainty_score":0.0174703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07509895725632941,"score_gpt":0.3925608886951432,"score_spread":0.3174619314388138,"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."}}