{"id":"W2166434031","doi":"10.1109/pes.2006.1709163","title":"On the accuracy of state estimation","year":2006,"lang":"en","type":"article","venue":"2006 IEEE Power Engineering Society General Meeting","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Computer science; Least-squares function approximation; State (computer science); Estimation; Algorithm; Applied mathematics; Mathematics; Statistics; 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":[0.01433332,0.001101356,0.00160059,0.001557977,0.0008828659,0.003657404,0.001552528,0.002883908,0.001729362],"category_scores_gemma":[0.1733505,0.0006953136,0.000693741,0.001695467,0.002399851,0.005302886,0.003465808,0.003415461,0.001223135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526649,"about_ca_system_score_gemma":0.001902566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006448881,"about_ca_topic_score_gemma":0.001882843,"domain_scores_codex":[0.9816468,0.006666414,0.001243104,0.003071285,0.006486423,0.0008859719],"domain_scores_gemma":[0.8830724,0.08147948,0.004375829,0.01775758,0.01294716,0.0003674502],"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":[0.0007798946,0.00007631718,0.01688464,0.0004401004,0.0002411718,0.0001980016,0.0005507749,0.4777485,0.007561753,0.1290466,0.004286771,0.3621856],"study_design_scores_gemma":[0.00005743307,0.0001361397,0.005628152,0.0002673737,0.00007196347,0.0002784157,0.0001688606,0.8731598,0.01435555,0.09690449,0.008891618,0.0000802665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0262055,0.00293936,0.9583058,0.003303271,0.0004195501,0.00003444331,0.0002871904,0.001253874,0.007250931],"genre_scores_gemma":[0.8379328,0.0027188,0.1530983,0.0007849684,0.0005674287,0.00007156972,0.0006037702,0.000551005,0.003671321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01433332,"threshold_uncertainty_score":0.07580274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004085657124712551,"score_gpt":0.1916516883138621,"score_spread":0.1875660311891495,"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."}}