{"id":"W7005061641","doi":"","title":"Power savings and occupant satisfaction due to a lighting demand response strategy","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Developmental Biology and Gene Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Demand response; Quality (philosophy); Consumption (sociology); Component (thermodynamics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006564632,0.0001799784,0.0002005378,0.0002117395,0.0003424753,0.0007451068,0.0002861575,0.0004830382,0.01194181],"category_scores_gemma":[0.002855414,0.0001132828,0.0004959846,0.0002761026,0.0001759682,0.0003224734,0.0003462652,0.0003756987,0.0007313658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007005502,"about_ca_system_score_gemma":0.000478925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007977769,"about_ca_topic_score_gemma":0.01433283,"domain_scores_codex":[0.9996436,0.0001100187,0.00001965751,0.00003181576,0.00008588683,0.0001090042],"domain_scores_gemma":[0.9981182,0.0007081237,0.0002726894,0.0001238708,0.0003931073,0.0003840819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01164447,0.005884161,0.8335382,0.0001292916,0.000445397,0.000531434,0.001199063,0.02137085,0.02617774,0.001722945,0.005288598,0.09206777],"study_design_scores_gemma":[0.0001013485,0.003312351,0.9631683,0.00001331984,0.0001382823,0.0001530695,0.003909887,0.02303585,0.003823044,0.0008263842,0.001486789,0.0000313872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972553,0.00001125469,0.0002341044,0.0001086138,0.000009796115,0.00001029646,0.0001101048,0.00000617769,0.002254426],"genre_scores_gemma":[0.9974389,0.000009677465,0.0001899033,0.00002961527,0.000005397664,0.00000910073,0.0001076799,0.000004889049,0.002204786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01194181,"threshold_uncertainty_score":0.03994936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005544772222938083,"score_gpt":0.2310455294619689,"score_spread":0.2255007572390308,"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."}}