{"id":"W3004401463","doi":"10.1109/pesgm40551.2019.8973934","title":"Foretasting-Aided State Estimator for an Electrical Distribution System","year":2019,"lang":"en","type":"article","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Observability; Backup; Kalman filter; Estimator; Extended Kalman filter; Computer science; Control theory (sociology); Algorithm; Artificial intelligence; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000130569,0.0001178726,0.0001445015,0.00002693241,0.00004833114,0.00004394086,0.00008921637,0.00004805802,0.00001534531],"category_scores_gemma":[0.00001531161,0.0001052338,0.00004758891,0.0001037927,0.000005214848,0.0001490498,0.000009084822,0.00006785304,0.00004039763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000820353,"about_ca_system_score_gemma":0.00001057096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009492094,"about_ca_topic_score_gemma":0.000005974115,"domain_scores_codex":[0.9992834,0.000008257868,0.0001814087,0.0001391842,0.0000905059,0.0002972411],"domain_scores_gemma":[0.9996606,0.00006602268,0.0000210748,0.000132836,0.0000342443,0.00008523492],"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":[0.0001615837,0.00008865068,0.01309783,0.001909517,0.0002247426,0.000009933608,0.0002936877,0.6716079,0.02893415,0.2010443,0.009430533,0.07319724],"study_design_scores_gemma":[0.0003068955,0.0001152898,0.0002502708,0.00003727394,0.000008761493,0.00001111763,0.00001814555,0.9900187,0.006777597,0.0001051733,0.002188781,0.0001619913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5932438,0.0000432235,0.3985197,0.000004908249,0.0004597424,0.0002486151,0.00005808863,0.0009443197,0.006477584],"genre_scores_gemma":[0.9953247,9.201525e-7,0.004120856,0.000006762869,0.0000694957,0.00002518929,0.00019528,0.00003029145,0.0002265485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4020808,"threshold_uncertainty_score":0.4291309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009373355061100248,"score_gpt":0.2104499172333885,"score_spread":0.2010765621722883,"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."}}