{"id":"W3128711752","doi":"10.4018/jgim.2021030109","title":"Modeling Residential Energy Consumption","year":2021,"lang":"en","type":"article","venue":"Journal of Global Information Management","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"University of Warwick","keywords":"Electricity; Consumption (sociology); Energy consumption; Environmental economics; Energy management; Computer science; Service (business); Analytics; Consumer behaviour; Energy (signal processing); Business; Marketing; Data science; Economics; Statistics","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":[0.0003156719,0.0004529259,0.0003032901,0.0004232734,0.0002480839,0.001047626,0.0006921293,0.000689959,0.003425027],"category_scores_gemma":[0.001184814,0.000327231,0.0006526632,0.001078457,0.000187823,0.0008265554,0.0004278441,0.000544494,0.0007325034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104829,"about_ca_system_score_gemma":0.0007685917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03571623,"about_ca_topic_score_gemma":0.03696086,"domain_scores_codex":[0.9997976,0.00006694908,0.000009811157,0.00006139404,0.00003542239,0.00002885992],"domain_scores_gemma":[0.9997129,0.0001700543,0.00002887697,0.00002867808,0.00004491136,0.00001464875],"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":[0.0000399786,0.00009107157,0.007529451,0.00004054896,0.00003660416,0.00006729062,0.00009789925,0.9635015,0.0005264395,0.01316368,0.001451492,0.01345409],"study_design_scores_gemma":[0.000002104727,0.000004949834,0.0007849919,0.000003606229,0.000003848359,0.000008174536,0.00002632986,0.9956166,0.00009157233,0.002389984,0.00106519,0.000002796883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.567327,0.000649191,0.3699323,0.001383278,0.00009110275,0.0001670538,0.005219382,0.001076644,0.05415402],"genre_scores_gemma":[0.9539714,0.0003727184,0.02920877,0.00006129171,0.00002400145,0.00009539066,0.001725533,0.00007529603,0.01446575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03571623,"threshold_uncertainty_score":0.07101667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009015688599354055,"score_gpt":0.2149603406441068,"score_spread":0.2059446520447528,"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."}}