{"id":"W2144237091","doi":"10.1109/tec.2009.2016035","title":"Probabilistic Evaluation of Transient Stability of a Wind Farm","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Transient (computer programming); Emtp; Probabilistic logic; Electric power system; Context (archaeology); Wind power; Stability (learning theory); Engineering; Control theory (sociology); Reliability engineering; Computer science; Power (physics); Electrical engineering; Geography; Machine learning; Artificial intelligence; Physics; Control (management)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004353914,0.0001237698,0.0002179944,0.0001001411,0.00003074048,0.000002794352,0.000094387,0.00009168134,0.00009385376],"category_scores_gemma":[0.000008125352,0.0001204848,0.0001249616,0.0002146824,0.00006050208,0.00007493627,2.528394e-7,0.0000852494,0.00000209106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178365,"about_ca_system_score_gemma":0.00005397641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006397595,"about_ca_topic_score_gemma":0.00005255471,"domain_scores_codex":[0.9988666,0.00009077747,0.0003430068,0.000173433,0.0003857195,0.000140527],"domain_scores_gemma":[0.9993191,0.00005596713,0.00004943728,0.0003018702,0.0002218154,0.00005182903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001470338,0.0004818066,0.00000494713,0.0002870714,0.00005195403,5.138263e-7,0.0007988699,0.8592249,0.09156051,0.0002914877,0.00003109689,0.04711981],"study_design_scores_gemma":[0.001193462,0.0003970179,0.0004846121,0.00016142,0.0001458884,0.000002523352,0.0001502901,0.243325,0.7531397,0.0003288872,0.0004888179,0.0001823305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6560084,0.00008761288,0.3409502,0.00004236506,0.000640968,0.0002607121,0.00002966494,0.00008409119,0.001896028],"genre_scores_gemma":[0.9998366,0.00003673189,0.0000718553,0.00001284625,0.000006547051,0.000008732584,0.000002427029,0.000008067327,0.00001618397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6615792,"threshold_uncertainty_score":0.4913226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745072943404853,"score_gpt":0.2179940240383717,"score_spread":0.2005432946043232,"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."}}