{"id":"W2041426401","doi":"10.1080/15502724.2015.1004412","title":"High Color Rendering Can Enable Better Vision without Requiring More Power","year":2015,"lang":"en","type":"article","venue":"LEUKOS The Journal of the Illuminating Engineering Society of North America","topic":"Color perception and design","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; National Research Council Canada","funders":"Office of Energy Efficiency; National Research Council Canada; Natural Resources Canada; Zhejiang University; Ontario Power Authority; Natural Sciences and Engineering Research Council of Canada; Fudan University","keywords":"Rendering (computer graphics); Color rendering index; Incandescent light bulb; Computer science; High color; Perception; LED lamp; Power consumption; Artificial intelligence; Computer vision; Computer graphics (images); Light-emitting diode; Optics; Psychology; Power (physics); Color image; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007918826,0.0001992379,0.0003545634,0.00005548707,0.0001434265,0.00002384038,0.0005822977,0.00007349123,0.00005553181],"category_scores_gemma":[0.0001731321,0.0001266718,0.0003053603,0.0003700324,0.0002050193,0.0001136313,0.0001365314,0.0005881819,0.000006022985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002020123,"about_ca_system_score_gemma":0.00007266681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001873032,"about_ca_topic_score_gemma":0.000009043212,"domain_scores_codex":[0.9983631,0.0001189813,0.0005355653,0.0001374673,0.0005164546,0.0003283915],"domain_scores_gemma":[0.9983909,0.0002081656,0.0006449292,0.0004067312,0.0002296787,0.0001195642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006691642,0.0005292147,0.03582713,0.0002622817,0.001638224,0.00004135069,0.2267863,0.4956075,0.04272837,0.00007383512,0.1585354,0.0373013],"study_design_scores_gemma":[0.01210574,0.006442706,0.6492698,0.002269263,0.001353117,0.002139259,0.1010614,0.09915061,0.008179219,0.0002236327,0.1146514,0.003153823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882087,0.0001285976,0.007589001,0.002736391,0.0009518391,0.0001437572,0.000004644105,0.00004265786,0.0001944611],"genre_scores_gemma":[0.9887902,0.00001297414,0.009601406,0.0007770948,0.0002346297,0.000004246674,9.007229e-7,0.00004171671,0.0005368012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6134426,"threshold_uncertainty_score":0.5165525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767850986210279,"score_gpt":0.2675867630568582,"score_spread":0.2499082531947555,"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."}}