{"id":"W2974538065","doi":"10.1109/tpwrs.2019.2942257","title":"External System Generator Outage Localization Based on Tie-Line Synchrophasor Measurements","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generator (circuit theory); Underdetermined system; Electric power system; Computer science; Sensitivity (control systems); Cluster analysis; Line (geometry); Tie line; QR decomposition; Algorithm; Real-time computing; Engineering; Electronic engineering; Power (physics); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003269693,0.0007993116,0.000609974,0.0005437901,0.0002628997,0.0005672886,0.0005859743,0.000511209,0.001037377],"category_scores_gemma":[0.001392785,0.000245329,0.0002759831,0.0004618874,0.0003382562,0.000586136,0.0005986825,0.0006362231,0.0007230727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002291776,"about_ca_system_score_gemma":0.0006057234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268568,"about_ca_topic_score_gemma":0.001185737,"domain_scores_codex":[0.9997041,0.00006691689,0.0000168017,0.000108944,0.00007829796,0.00002494435],"domain_scores_gemma":[0.999552,0.0001385598,0.0001066889,0.00004569513,0.0001360509,0.00002108363],"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":[0.0001795537,0.00009794298,0.003291306,0.0001631722,0.00005676544,0.0001833519,0.0001379374,0.5540798,0.04096426,0.00710493,0.002084949,0.3916561],"study_design_scores_gemma":[0.000006848083,0.00003402872,0.000527209,0.000005916154,0.000004929559,0.0000545824,0.000007197147,0.9942949,0.004056802,0.0005379845,0.0004627723,0.000006935019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00651699,0.00003147178,0.9927157,0.00001790188,0.00001039829,0.00002018869,0.00001752427,0.0003857906,0.0002840712],"genre_scores_gemma":[0.4904068,0.0001520321,0.5067619,0.00003733692,0.00003469969,0.0001416337,0.0002476081,0.00008282168,0.002135117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001268568,"threshold_uncertainty_score":0.003470421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599910961599127,"score_gpt":0.2137159323650173,"score_spread":0.197716822749026,"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."}}