{"id":"W4402594205","doi":"10.1109/sds60720.2024.00011","title":"Mining and Forecasting Energy Consumption Based on Weather Data","year":2024,"lang":"en","type":"article","venue":"","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; University of Manitoba","funders":"University of Manitoba","keywords":"Energy consumption; Weather forecasting; Computer science; Consumption (sociology); Meteorology; Engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003814504,0.0007610455,0.0005312838,0.001602704,0.0002283457,0.0006051704,0.0005184292,0.0005189657,0.0009633895],"category_scores_gemma":[0.002213177,0.0002789505,0.0005298058,0.002299669,0.0001535656,0.001362239,0.0003153596,0.0006216517,0.0004849503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003552433,"about_ca_system_score_gemma":0.000412868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007562225,"about_ca_topic_score_gemma":0.01463464,"domain_scores_codex":[0.9997366,0.00003786629,0.00003832978,0.0000842865,0.00007814952,0.00002466529],"domain_scores_gemma":[0.9992481,0.0002558365,0.0001292053,0.0001375698,0.0001987189,0.00003051751],"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":[0.000401377,0.0003381239,0.1867917,0.0003637013,0.0003368685,0.0004152554,0.0001536886,0.5257857,0.009357142,0.006887943,0.01115341,0.2580151],"study_design_scores_gemma":[0.00001060897,0.00002513491,0.01447272,0.0000197131,0.00002475304,0.00003822961,0.00008541049,0.973886,0.003120131,0.005859856,0.002445082,0.00001229705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6245418,0.0008991556,0.3431076,0.001620181,0.0002541199,0.0001823869,0.01904054,0.003407562,0.006946778],"genre_scores_gemma":[0.8999288,0.0005555073,0.08831014,0.0000781495,0.0000692939,0.00006987149,0.01008948,0.00008089689,0.0008179016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007562225,"threshold_uncertainty_score":0.0150364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5665341613022853,"score_gpt":0.4204674190196236,"score_spread":0.1460667422826617,"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."}}