{"id":"W2146534582","doi":"10.1109/tdc.1996.545946","title":"Mitigating potential transformer ferroresonance in a 230 kV converter station","year":2002,"lang":"en","type":"article","venue":"Proceedings of 1996 Transmission and Distribution Conference and Exposition","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro","funders":"","keywords":"Ferroresonance in electricity networks; Circuit breaker; Resistor; Transformer; Electrical engineering; Inductance; Engineering; Capacitance; Nonlinear system; Voltage; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001134681,0.0001014538,0.0001341641,0.00003245127,0.0001265901,0.00007078833,0.00004906841,0.00006586019,0.0003530451],"category_scores_gemma":[0.000006916153,0.00008724727,0.0000207218,0.00009054621,0.0001099379,0.0003341297,0.000006518036,0.00006502902,0.00000344062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001140741,"about_ca_system_score_gemma":0.000008035492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000748639,"about_ca_topic_score_gemma":0.000002429531,"domain_scores_codex":[0.9992062,0.00000654829,0.0002721635,0.0002226488,0.0001392944,0.0001531329],"domain_scores_gemma":[0.9996993,0.000008623118,0.00007349085,0.00002701212,0.0001116408,0.00007992312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005680369,0.00006947284,0.0003446357,0.000142194,0.000001131055,2.857277e-7,0.001094685,6.893957e-7,0.9207964,0.005944564,0.0001166478,0.0714325],"study_design_scores_gemma":[0.003123154,0.0006064183,0.03409349,0.0009009387,0.00006381118,0.0000488104,0.003359334,0.09550553,0.8525394,0.006127242,0.003051494,0.0005803545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812717,0.0004147658,0.01592752,0.001489132,0.00001521073,0.0002098164,0.00006944776,0.00002384815,0.0005786017],"genre_scores_gemma":[0.9985284,0.0007631288,0.0005117397,0.00005063942,0.00001147366,0.00003950653,0.00005067023,0.000003893381,0.00004053966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09550484,"threshold_uncertainty_score":0.3865596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526952402507488,"score_gpt":0.2153044332784512,"score_spread":0.2000349092533763,"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."}}