{"id":"W2294876144","doi":"10.5441/002/edbt.2015.34","title":"Benchmarking Smart Meter Data Analytics","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Smart meter; Smart grid; Benchmark (surveying); Benchmarking; SPARK (programming language); Big data; Analytics; Database; Server; Embedded system; Data analysis; Real-time computing; Data mining; Operating system; 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":[0.00405911,0.001614119,0.0007506125,0.00192004,0.0007685024,0.001997419,0.00282733,0.0009866478,0.002847018],"category_scores_gemma":[0.01294773,0.0003937615,0.0006691668,0.005330708,0.0009900135,0.002761399,0.001921913,0.00124995,0.001480825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607573,"about_ca_system_score_gemma":0.002062215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00855222,"about_ca_topic_score_gemma":0.005251256,"domain_scores_codex":[0.9942034,0.00149407,0.0006032572,0.001230444,0.001892323,0.0005764434],"domain_scores_gemma":[0.990987,0.002755653,0.0003565381,0.002842162,0.002537882,0.0005207142],"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":[0.002627335,0.002265403,0.0388711,0.001357378,0.0004858027,0.0005572434,0.0006194401,0.5852732,0.01945587,0.02787611,0.08140954,0.2392016],"study_design_scores_gemma":[0.0002761268,0.0004668431,0.0123391,0.00005322298,0.00004555025,0.0001389325,0.0003334572,0.9303426,0.02910588,0.007696263,0.01914949,0.00005243012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82287,0.001166441,0.08776224,0.001515297,0.0005554713,0.0008509242,0.01636341,0.03504762,0.03386863],"genre_scores_gemma":[0.8678466,0.0004066979,0.09082086,0.0002156386,0.00006337147,0.0003038464,0.03642192,0.001011048,0.002910024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00855222,"threshold_uncertainty_score":0.02146685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163677891123747,"score_gpt":0.253496275490898,"score_spread":0.1371284863785233,"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."}}