{"id":"W2553567329","doi":"10.1145/3004295","title":"Smart Meter Data Analytics","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Database Systems","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Data analysis; Analytics; Smart meter; Big data; Data science; Data mining; Smart grid; Electrical 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":[0.001504524,0.001547865,0.001088516,0.002840151,0.0005625002,0.002966426,0.001777546,0.0007381661,0.01081272],"category_scores_gemma":[0.008826906,0.0004278427,0.0007255081,0.005655748,0.0003680058,0.004133721,0.001936985,0.001264438,0.009049088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009387495,"about_ca_system_score_gemma":0.001276905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003514862,"about_ca_topic_score_gemma":0.002756365,"domain_scores_codex":[0.9975321,0.0003220468,0.0002283426,0.0005749078,0.001177527,0.000165071],"domain_scores_gemma":[0.9950044,0.0009157693,0.0003808374,0.001627319,0.001904489,0.000167196],"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":[0.0005341498,0.0004017917,0.02799456,0.0009732327,0.0002824021,0.0003839718,0.0003366106,0.07179943,0.01314963,0.03920014,0.257101,0.5878431],"study_design_scores_gemma":[0.00008415136,0.0001854596,0.01528653,0.000246736,0.00009614063,0.0005062041,0.0005770042,0.5123786,0.04217698,0.07801474,0.350323,0.0001244772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06512266,0.003470585,0.6509171,0.005853023,0.001510152,0.001337661,0.102508,0.0765393,0.09274152],"genre_scores_gemma":[0.5547987,0.003953628,0.2715014,0.00142777,0.0006869314,0.0005603342,0.1433324,0.002841459,0.02089739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01081272,"threshold_uncertainty_score":0.03617221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09289352135828077,"score_gpt":0.2750155793791962,"score_spread":0.1821220580209155,"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."}}