{"id":"W2050949442","doi":"10.1016/j.enbuild.2006.03.002","title":"Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control","year":2006,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":300,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Daylighting; Daylight; Energy (signal processing); Building energy simulation; Control (management); Simulation; Setpoint; Computer science; Efficient energy use; GLARE; Engineering; Architectural engineering; Artificial intelligence; Energy performance","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":[0.0008216438,0.000638577,0.0007204298,0.0002984463,0.0003752624,0.0009854133,0.001037209,0.0009737636,0.002060933],"category_scores_gemma":[0.003670716,0.0004922248,0.000846479,0.0005835991,0.0005201988,0.001385196,0.0005610416,0.001097221,0.0001966377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006400595,"about_ca_system_score_gemma":0.0005423666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01985516,"about_ca_topic_score_gemma":0.01348412,"domain_scores_codex":[0.9995958,0.0002155099,0.00001516985,0.00003497858,0.00008383271,0.00005473509],"domain_scores_gemma":[0.9961652,0.003099664,0.0001187792,0.0002580775,0.0002635033,0.00009489911],"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":[0.0001720217,0.0002621124,0.002071145,0.0000349753,0.00002915258,0.00002093697,0.00006335721,0.9890828,0.001139401,0.001132017,0.00006406945,0.005928152],"study_design_scores_gemma":[0.00001422169,0.00007741854,0.0006225871,0.000002015594,0.00001787304,0.000003495838,0.00001868647,0.9981494,0.0006570969,0.000335143,0.00009624113,0.000005857314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659463,0.000103442,0.02869117,0.00008088543,0.0000327066,0.00003452102,0.00007207566,0.0000881247,0.004950698],"genre_scores_gemma":[0.9953564,0.00006175823,0.003745233,0.00001372054,0.000006706488,0.00001655002,0.00003132284,0.00002136264,0.0007468443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01985516,"threshold_uncertainty_score":0.0394792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006927845337042647,"score_gpt":0.2283647005361476,"score_spread":0.2214368551991049,"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."}}