{"id":"W3128093941","doi":"10.1109/epec48502.2020.9320056","title":"Steady State Accuracy of Second-Order Generator Dynamic Models in Generator Parameter Validation Testing","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Generator (circuit theory); Computer science; Steady state (chemistry); Control theory (sociology); Estimation theory; Stator; Electric generator; Algorithm; Engineering; Power (physics); Artificial intelligence; Mechanical engineering; Physics","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":[0.001223616,0.0005704364,0.000551426,0.0004739786,0.0002809715,0.0008804771,0.0007617612,0.0006075568,0.001188511],"category_scores_gemma":[0.003460216,0.0003043076,0.0005449964,0.0002890751,0.0003982292,0.001266786,0.0005968431,0.0007593022,0.0003906595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005406853,"about_ca_system_score_gemma":0.0005829658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002039614,"about_ca_topic_score_gemma":0.002027924,"domain_scores_codex":[0.9993922,0.0002369486,0.00003194791,0.00007901937,0.0002177841,0.00004216726],"domain_scores_gemma":[0.9985055,0.0009363773,0.0001012214,0.0002098316,0.0002296049,0.00001756722],"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":[0.0001828758,0.00005963093,0.00348992,0.0001675366,0.00003713962,0.00009698995,0.0001858914,0.9289793,0.01192681,0.008677875,0.0005185241,0.04567756],"study_design_scores_gemma":[0.00001144961,0.000135743,0.001258223,0.00002369775,0.00001774179,0.00006647858,0.00003003434,0.9867663,0.007189757,0.002605704,0.001878435,0.00001653814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2304499,0.00107412,0.751388,0.0002907736,0.00007810537,0.00005244977,0.0002056747,0.001268023,0.01519305],"genre_scores_gemma":[0.9822025,0.0003153234,0.01547411,0.00002169811,0.000008646147,0.00004120981,0.0001505711,0.00008849796,0.00169745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002039614,"threshold_uncertainty_score":0.006471157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232776433095684,"score_gpt":0.2211071796081235,"score_spread":0.1987794152771667,"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."}}