{"id":"W1983187427","doi":"10.1109/pesgm.2012.6344970","title":"EMS real time model enhancement and performance validation using archived telemetry and historical events data","year":2012,"lang":"en","type":"article","venue":"","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"EMS Ingénierie","keywords":"Computer science; Telemetry; Data modeling; Energy management system; Model validation; Reliability engineering; Data model (GIS); Real-time computing; Systems engineering; Engineering; Energy (signal processing); Energy management; Database; Telecommunications; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004127791,0.0007854791,0.0004567748,0.0006939797,0.000476934,0.0009246371,0.001326474,0.0005826601,0.001276594],"category_scores_gemma":[0.005949371,0.0002780013,0.0006036003,0.0005881416,0.0004329913,0.001320344,0.0006219664,0.001046069,0.000355838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191751,"about_ca_system_score_gemma":0.001232308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008470909,"about_ca_topic_score_gemma":0.007284917,"domain_scores_codex":[0.9979401,0.0009845145,0.000130598,0.0002303574,0.0006189892,0.00009543009],"domain_scores_gemma":[0.9964554,0.00125632,0.0002342283,0.001022135,0.0009799495,0.0000518779],"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":[0.0001980337,0.0004057942,0.01050207,0.0001360928,0.00006012801,0.0001402462,0.0002583459,0.9193416,0.009817504,0.002178575,0.001198878,0.05576265],"study_design_scores_gemma":[0.00005440116,0.0003296981,0.00516401,0.00003619895,0.00002934943,0.00005664907,0.0001448479,0.9595085,0.03030681,0.0007855743,0.003554719,0.00002912442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.658321,0.00009241958,0.3262521,0.0003616403,0.00008857442,0.0004231951,0.001449158,0.003977293,0.00903463],"genre_scores_gemma":[0.9193091,0.00006204737,0.07793756,0.00002539803,0.00001160013,0.0001917214,0.001169852,0.0001586066,0.001134033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008470909,"threshold_uncertainty_score":0.02183008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0613126508121961,"score_gpt":0.2465180242681766,"score_spread":0.1852053734559805,"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."}}