{"id":"W4385400588","doi":"10.18280/jesa.560307","title":"Improved Frequency Response of Parallel Virtual Synchronous Generators Using Grey Wolf Optimization","year":2023,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Frequency response; Electrical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001445956,0.0003917577,0.0006769454,0.000700216,0.0004877907,0.0002235499,0.0004624743,0.0002359973,0.0002213301],"category_scores_gemma":[0.0005227946,0.0003303547,0.0002823388,0.001178647,0.0001495968,0.0005348191,0.0001283692,0.0002568328,0.00004574842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004294846,"about_ca_system_score_gemma":0.0004852207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502825,"about_ca_topic_score_gemma":0.0001186893,"domain_scores_codex":[0.9959162,0.001101864,0.00136148,0.0003658177,0.0005696584,0.0006849999],"domain_scores_gemma":[0.9976708,0.0002028946,0.0009490434,0.000475987,0.0003967595,0.000304549],"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":[0.0001437383,0.00005605958,0.0003915665,0.00008691008,0.000236104,0.0002715751,0.0006402953,0.9066527,0.0754225,0.001159087,0.0004790139,0.01446049],"study_design_scores_gemma":[0.001669759,0.0006845165,0.01755563,0.0006991143,0.000119642,0.00155506,0.0005729776,0.9708612,0.00410852,0.0007315981,0.0007399915,0.0007019858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9160442,0.001170535,0.07893388,0.00004675777,0.002227144,0.0001966129,0.00002199658,0.0004732477,0.0008855849],"genre_scores_gemma":[0.9709238,0.0003057063,0.02611839,0.00003838612,0.0005639685,0.0000129257,0.00001522092,0.0001521464,0.001869445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07131398,"threshold_uncertainty_score":0.9999148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895614986956932,"score_gpt":0.2500796354158908,"score_spread":0.2311234855463214,"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."}}