{"id":"W2914719619","doi":"10.1109/tpwrd.2019.2896135","title":"Impact of Wind Generation on Power Swing Protection","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Electric Power Research Institute","keywords":"Tripping; Swing; Wind power; Electric power system; Electricity generation; Fault (geology); Engineering; Power-system protection; Power (physics); Automotive engineering; Electrical engineering; Reliability engineering; Computer science; Circuit breaker; Mechanical 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":[0.0005975195,0.0003176911,0.0002692403,0.0003548466,0.0004525,0.0006832285,0.0003253362,0.0005500564,0.002972335],"category_scores_gemma":[0.002493609,0.0001568167,0.0002441036,0.000409217,0.0007279023,0.0007423186,0.0005058009,0.0004166655,0.000186533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006703972,"about_ca_system_score_gemma":0.0002557249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275832,"about_ca_topic_score_gemma":0.003495062,"domain_scores_codex":[0.9995073,0.0002237773,0.00002127718,0.00002695075,0.0001306624,0.00008994341],"domain_scores_gemma":[0.9980236,0.001416849,0.000212167,0.0001203676,0.0001798268,0.00004725172],"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":[0.001227461,0.0001590042,0.03155435,0.0005606921,0.0001297553,0.006594604,0.0005133828,0.8337476,0.02848314,0.0247786,0.00146684,0.07078451],"study_design_scores_gemma":[0.0004143108,0.004463629,0.1340574,0.0004206114,0.0003498553,0.004101628,0.00374786,0.7279969,0.05345845,0.04874741,0.02208471,0.0001572758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402449,0.0006780882,0.02177468,0.0003574351,0.0000628395,0.0001002383,0.0001863038,0.00009117615,0.03650434],"genre_scores_gemma":[0.9988768,0.0001180906,0.0005094477,0.00001200373,0.000002914301,0.000002717442,0.00001465381,0.000004289501,0.0004592644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002972335,"threshold_uncertainty_score":0.009943426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401069914011997,"score_gpt":0.2215069520638716,"score_spread":0.2074962529237516,"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."}}