{"id":"W1608132282","doi":"10.1109/icde.2015.7113405","title":"SMAS: A smart meter data analytics system","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Smart meter; Analytics; Computer science; Electricity; Electricity meter; Metre; Data analysis; Big data; Domain (mathematical analysis); Smart grid; Data science; Database; Data mining; Engineering; 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":[0.001630531,0.001140028,0.001114617,0.002097538,0.0005077907,0.001916243,0.002478869,0.0006764231,0.02496608],"category_scores_gemma":[0.004986808,0.000835331,0.0006188815,0.00173378,0.0005493762,0.003369068,0.002710134,0.001654795,0.01402944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008740662,"about_ca_system_score_gemma":0.001384623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003144718,"about_ca_topic_score_gemma":0.002271206,"domain_scores_codex":[0.9984583,0.0002225518,0.0001750615,0.00041019,0.0006276197,0.0001062541],"domain_scores_gemma":[0.9977809,0.0004981012,0.0002399583,0.0006975603,0.0004789936,0.0003045441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002834118,0.0009367061,0.01900911,0.001025886,0.0004855958,0.0009132959,0.0008764631,0.02473237,0.03698557,0.01882889,0.6343384,0.2590336],"study_design_scores_gemma":[0.0008875014,0.0005643921,0.01804788,0.0001944938,0.0001811878,0.0007876775,0.0003229402,0.4741139,0.04534055,0.024805,0.4343981,0.0003563341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.02297999,0.000315001,0.1386816,0.0009484252,0.0002852719,0.000612593,0.03882549,0.7783688,0.0189829],"genre_scores_gemma":[0.5693802,0.0006307739,0.2229952,0.002856449,0.0004531368,0.001318234,0.1508783,0.02337159,0.02811617],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02496608,"threshold_uncertainty_score":0.08351988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008582294973473,"score_gpt":0.2364757872674757,"score_spread":0.1356175577701284,"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."}}