{"id":"W2113365986","doi":"10.5539/jsd.v1n3p3","title":"Daylight for Energy Savings and Psycho-Physiological Well-Being in Sustainable Built Environments","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Daylighting; Daylight; GLARE; Architectural engineering; Computer science; Illuminance; Photopic vision; Luminance; Energy (signal processing); Artificial light; Environmental economics; Simulation; Psychology; Artificial intelligence; Optics; Engineering; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003253018,0.000157119,0.0002344691,0.0002629361,0.000110593,0.00004671416,0.0001382568,0.0001030834,0.000009948816],"category_scores_gemma":[0.00002349415,0.0001421066,0.00003971105,0.0001857129,0.00001520853,0.0003274309,0.00003115659,0.0001297844,1.83036e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003705821,"about_ca_system_score_gemma":0.00005791253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003153248,"about_ca_topic_score_gemma":9.929657e-7,"domain_scores_codex":[0.9988407,0.00001455653,0.0004257523,0.0001282469,0.0001493676,0.0004413405],"domain_scores_gemma":[0.9996516,0.00002524182,0.00009796782,0.0000773989,0.00006128044,0.00008655513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002822148,0.0003419411,0.001328047,0.0002953403,0.0001372864,0.0006174039,0.002401599,0.8655393,0.003769412,0.1063503,0.005091698,0.01384548],"study_design_scores_gemma":[0.006105256,0.001025271,0.06418669,0.0003450007,0.00006768217,0.0001906359,0.008791839,0.02307221,0.02844745,0.07816,0.7880575,0.001550449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210556,0.0008673179,0.0749639,0.0003225555,0.0001370167,0.0002202667,1.276584e-7,0.00004144941,0.002391755],"genre_scores_gemma":[0.9887208,0.0003209234,0.00795616,0.0001337561,0.00005366645,0.00001480705,0.000003594592,0.00001627849,0.002780036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8424671,"threshold_uncertainty_score":0.5794939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004910688004268628,"score_gpt":0.1979658818214935,"score_spread":0.1930551938172249,"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."}}