{"id":"W2999375771","doi":"10.1109/tia.2020.2964594","title":"Instability detection and prevention in smart grids under asymmetric faults","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Electric power system; Reliability engineering; Generator (circuit theory); Computer science; Countermeasure; Power-system protection; Stability (learning theory); Power (physics); Control theory (sociology); 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":[0.0005208116,0.000497182,0.0004195269,0.001146259,0.0002211773,0.00045625,0.0004089764,0.0002882328,0.0006180801],"category_scores_gemma":[0.002115165,0.000141906,0.0002030572,0.0003818057,0.0003127431,0.000683819,0.000417473,0.0002603549,0.0001452805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003030653,"about_ca_system_score_gemma":0.0002653413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007031236,"about_ca_topic_score_gemma":0.000999937,"domain_scores_codex":[0.999548,0.00009124451,0.00002827259,0.0001048313,0.000185721,0.00004191317],"domain_scores_gemma":[0.9986323,0.0003713522,0.0005661165,0.0001289333,0.0002529474,0.00004834903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001044472,0.0001789913,0.03013699,0.0002722455,0.0001033377,0.000665496,0.0003430312,0.2947406,0.1048651,0.007256755,0.001364749,0.5590281],"study_design_scores_gemma":[0.00002383788,0.0003134633,0.01522873,0.00002958365,0.00004839821,0.0003111087,0.00008990866,0.9356301,0.04299123,0.004506334,0.0008032316,0.00002412057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2753124,0.0002534957,0.7205527,0.00008212661,0.00003536034,0.0000862025,0.00007800086,0.00133703,0.00226281],"genre_scores_gemma":[0.9729366,0.00004631655,0.02665625,0.00001499747,0.000009277572,0.0000163281,0.00002953584,0.00001223907,0.0002784631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001146259,"threshold_uncertainty_score":0.002754331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318836266725485,"score_gpt":0.2441909877292636,"score_spread":0.2210026250620087,"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."}}