{"id":"W2938081126","doi":"","title":"A systematic procedure to study the influence of occupant behavior on building energy consumption","year":2011,"lang":"en","type":"article","venue":"Spectrum Research Repository (Concordia University)","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Works and Government Services Canada; Concordia University","funders":"","keywords":"Energy consumption; Computer science; Normalization (sociology); Cluster analysis; Identification (biology); Set (abstract data type); Data pre-processing; Data mining; Consumption (sociology); Machine learning; Engineering","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":[0.006814831,0.0009132966,0.001083176,0.001873343,0.001320272,0.0005989798,0.0008550382,0.0008017761,0.003613095],"category_scores_gemma":[0.01681288,0.0006016407,0.001443253,0.001521965,0.0009567222,0.0003865112,0.001239802,0.0008179312,0.001112348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007316498,"about_ca_system_score_gemma":0.007245872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005948537,"about_ca_topic_score_gemma":0.01138393,"domain_scores_codex":[0.993898,0.003182292,0.0005383618,0.0007384411,0.001394689,0.0002482938],"domain_scores_gemma":[0.9810547,0.009151675,0.001108205,0.003904753,0.004610862,0.0001697404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004174347,0.009972183,0.05340283,0.002448193,0.0004142172,0.0003828578,0.007832643,0.01919718,0.2556888,0.02081257,0.00719037,0.6184838],"study_design_scores_gemma":[0.003075121,0.04522115,0.3356017,0.001047131,0.001454357,0.001386911,0.005392638,0.07576618,0.4132521,0.0170037,0.09977945,0.001019393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1660813,0.0001511207,0.7880534,0.00006717219,0.00008810909,0.03526711,0.003361835,0.00128623,0.005643649],"genre_scores_gemma":[0.1998392,0.0002553247,0.7035293,0.0001583968,0.00002440969,0.08552263,0.002303929,0.0002475254,0.008119258],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006814831,"threshold_uncertainty_score":0.03604072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03426760856936919,"score_gpt":0.2587160291646883,"score_spread":0.2244484205953191,"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."}}