{"id":"W2015489723","doi":"10.1016/j.enbuild.2011.02.002","title":"A systematic procedure to study the influence of occupant behavior on building energy consumption","year":2011,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":562,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Works and Government Services Canada; Concordia University","funders":"Public Works and Government Services Canada; Concordia University","keywords":"Energy consumption; Normalization (sociology); Cluster analysis; Computer science; Identification (biology); Set (abstract data type); Data pre-processing; Consumption (sociology); Energy (signal processing); Data mining; Engineering; Machine learning; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001841965,0.0001868521,0.0002361932,0.0001366766,0.0001237112,0.00002330865,0.0002056306,0.00007740589,0.00001295887],"category_scores_gemma":[0.00002534951,0.0001349319,0.00003784731,0.0002133315,0.00003570434,0.0001133531,0.00005033021,0.00007323833,4.92137e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002167647,"about_ca_system_score_gemma":0.000007306611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001311591,"about_ca_topic_score_gemma":0.00003080356,"domain_scores_codex":[0.9990786,0.00003986628,0.0003169826,0.0002086924,0.0001710053,0.0001848254],"domain_scores_gemma":[0.9995108,0.00005404121,0.00007829304,0.0002481026,0.00004237156,0.00006644412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001643245,0.0005745225,0.009016651,0.00158367,0.0004241264,0.00001992839,0.004477479,0.8187483,0.02057485,0.141438,0.0001408141,0.002837369],"study_design_scores_gemma":[0.005976977,0.005928323,0.2737818,0.0186468,0.003303529,0.0005260513,0.003432367,0.09750532,0.5784883,0.004520124,0.002005193,0.005885182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924919,0.0002283175,0.006741287,0.000005947509,0.00009684552,0.000184488,0.000001712787,0.0001329265,0.0001165786],"genre_scores_gemma":[0.9984508,0.00007653798,0.001015559,0.000108929,0.0000216527,0.0002665082,0.000001157638,0.00002599534,0.0000328998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.721243,"threshold_uncertainty_score":0.5502362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502998264803638,"score_gpt":0.2212878794683879,"score_spread":0.2062578968203516,"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."}}