{"id":"W2165019986","doi":"10.1177/1477153507081560","title":"Individual control of electric lighting in a daylit space","year":2008,"lang":"en","type":"article","venue":"Lighting Research & Technology","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Lawrence Berkeley National Laboratory","keywords":"Dimmer; Illuminance; Electric light; Daylight; Luminance; GLARE; Daylighting; Computer science; Digital signage; Smart lighting; Optics; Computer graphics (images); Computer vision; Simulation; Engineering; Electrical engineering; Physics; Architectural engineering; Materials science; Multimedia","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":[0.0005098933,0.0002507977,0.0002707965,0.0002133246,0.0003744423,0.000484972,0.0002985986,0.0002554245,0.002312566],"category_scores_gemma":[0.001892555,0.0001527414,0.0001417825,0.0001276373,0.0003396223,0.0001963882,0.0004468009,0.0001544716,0.0002361268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001925865,"about_ca_system_score_gemma":0.0001304088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233722,"about_ca_topic_score_gemma":0.003778342,"domain_scores_codex":[0.9996033,0.0001225961,0.00002636392,0.0001286029,0.0000594324,0.00005968379],"domain_scores_gemma":[0.9990489,0.0003412859,0.000129388,0.0001541418,0.0001245489,0.0002017938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02003745,0.008277569,0.4370592,0.0004801417,0.000438376,0.0006872742,0.01827393,0.001952412,0.3439011,0.0002894666,0.001286536,0.1673166],"study_design_scores_gemma":[0.0003247321,0.009651086,0.9519724,0.00002009977,0.0001223397,0.0004124438,0.005219558,0.002490368,0.02711915,0.0003267514,0.002225875,0.0001151214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995461,0.000008275529,0.0001418908,0.000002369198,0.0000011614,0.00001233243,0.00001534658,0.000005770153,0.0002666305],"genre_scores_gemma":[0.9987949,0.000009255413,0.0005699387,0.000006683357,0.000001987763,0.00002633167,0.00003632585,0.000003049225,0.000551371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002312566,"threshold_uncertainty_score":0.007736325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220020960146145,"score_gpt":0.2638166636249779,"score_spread":0.2418145676103634,"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."}}