{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001834774,0.0001012004,0.0001268406,0.0001082924,0.00003810451,0.000130891,0.0001378013,0.00003502788,0.0001091763],"category_scores_gemma":[0.000008278455,0.0001065304,0.00008701695,0.0002101094,0.000007324677,0.001164421,0.00007563274,0.00006184689,0.00005620818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213924,"about_ca_system_score_gemma":0.00001356271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005323902,"about_ca_topic_score_gemma":0.00001082959,"domain_scores_codex":[0.9987864,0.000017662,0.0006031584,0.00004249494,0.0003993542,0.000150923],"domain_scores_gemma":[0.9995261,0.000003918705,0.00009921616,0.0001392422,0.0001670906,0.00006438299],"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":[0.0000104632,0.00000883993,0.00007981744,0.00007767195,0.0001714913,0.00003657573,0.00001924691,0.9464844,0.000006096334,0.02584047,0.01545879,0.01180617],"study_design_scores_gemma":[0.001029201,0.00002451779,0.002372348,0.0001017942,0.0001229305,0.0001061127,0.0003601494,0.854059,0.0002206454,0.001576324,0.1398109,0.0002160258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02243649,0.0003524432,0.9357193,0.0001640117,0.001948491,0.0000395452,0.00000350949,0.00007776737,0.03925845],"genre_scores_gemma":[0.9901558,0.001354861,0.007846561,0.000357273,0.0001821156,0.000003441155,0.00001783059,0.000007249562,0.00007493166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9677193,"threshold_uncertainty_score":0.4344184,"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."}}