{"id":"W1998200860","doi":"10.1191/1365782806lrt161oa","title":"Lighting quality and office work: two field simulation experiments","year":2006,"lang":"en","type":"article","venue":"Lighting Research & Technology","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Pacific Northwest National Laboratory; U.S. Department of Energy; U.S. Environmental Protection Agency; Illuminating Engineering Society; Rensselaer Polytechnic Institute; Steelcase","keywords":"Desk; Visibility; Simulation; Quality (philosophy); Control (management); Computer science; Engineering; Mechanical engineering; Artificial intelligence; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004666821,0.0001110536,0.0001363008,0.000367988,0.0002403254,0.00005505973,0.0001684639,0.0002192338,0.00001785199],"category_scores_gemma":[0.0001839768,0.0001149251,0.0000194262,0.000756111,0.00006454073,0.0001082683,0.0001239594,0.000425713,0.000004979373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006082731,"about_ca_system_score_gemma":0.000008908742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001134503,"about_ca_topic_score_gemma":0.00001969001,"domain_scores_codex":[0.9988329,0.00005114645,0.0002535549,0.0002343932,0.0002136784,0.0004143674],"domain_scores_gemma":[0.999278,0.0003231212,0.00003313465,0.0002511778,0.00008212839,0.0000324126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002871282,0.00004053719,0.006397103,0.00003390529,0.00002148183,0.000007938531,0.0001079939,0.9356683,0.0158286,0.02087379,0.0005612487,0.02043033],"study_design_scores_gemma":[0.001109336,0.0001464727,0.002802497,0.0002418572,0.00001064797,0.000009664975,0.0002500046,0.5339794,0.4381332,0.01360461,0.009033615,0.000678777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522825,0.0009055491,0.04013257,0.0005468563,0.0001225236,0.0001400202,6.603084e-7,0.001092069,0.004777287],"genre_scores_gemma":[0.9947466,0.00001464689,0.00483175,0.00001701644,0.0001063822,0.00002819524,0.00000712545,0.0000242684,0.0002240142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4223045,"threshold_uncertainty_score":0.4686508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04951290315645317,"score_gpt":0.37270285632389,"score_spread":0.3231899531674368,"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."}}