{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001572335,0.0002838419,0.0004347634,0.0001239006,0.00004535198,0.00008439314,0.000181177,0.0001207861,0.0001461893],"category_scores_gemma":[0.000161733,0.0002898823,0.00004653796,0.0008710718,0.00002209506,0.0003691828,0.00002828966,0.0002030005,0.000003848141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007006706,"about_ca_system_score_gemma":0.0001682261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005125622,"about_ca_topic_score_gemma":0.0001056414,"domain_scores_codex":[0.9982828,0.000114479,0.0006044809,0.0004105967,0.0002077138,0.0003799503],"domain_scores_gemma":[0.9991083,0.0001611987,0.0001142218,0.0002218161,0.0002021009,0.0001923652],"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":[0.00007683427,0.0001108663,0.001438863,0.0003180683,0.0001642125,0.00002534829,0.003191195,0.7781174,0.1978293,0.001007935,0.0007793608,0.01694064],"study_design_scores_gemma":[0.0004866442,0.0000922246,0.0004869899,0.00002046918,0.00001207415,0.000003677973,0.00004629415,0.9832419,0.01473274,0.0002651204,0.0002841733,0.0003276683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.704203,0.0006202947,0.2922506,0.0000673756,0.000263381,0.0001418102,0.0000449211,0.0001678691,0.002240757],"genre_scores_gemma":[0.9980386,0.0001971096,0.001387075,0.0001654316,0.00002199614,0.00003476706,0.00002583854,0.00003766064,0.00009144832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2938357,"threshold_uncertainty_score":0.9999554,"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."}}