{"id":"W3005097445","doi":"","title":"Field testing, modelling and analysis of ferroresonance in a high voltage power system","year":2000,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ferroresonance in electricity networks; Field (mathematics); Power (physics); Electrical engineering; Voltage; Engineering; Physics; Mathematics; Transformer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001176458,0.000145978,0.0003679754,0.00004751169,0.00006865217,0.00001655646,0.0001646195,0.00003869373,0.00009179969],"category_scores_gemma":[0.000002515187,0.0001348103,0.00002048839,0.0001650512,0.00002756153,0.0000840842,0.00003376171,0.00008213279,1.231785e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004827411,"about_ca_system_score_gemma":0.0005302186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03060762,"about_ca_topic_score_gemma":0.05937336,"domain_scores_codex":[0.998553,0.00002229082,0.000357645,0.000253613,0.0006494915,0.0001640108],"domain_scores_gemma":[0.9993685,0.0001609382,0.0002120973,0.0001755538,9.497149e-7,0.00008193142],"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":[0.006508289,0.0003013517,0.06312981,0.008854671,0.0008301053,0.0002390939,0.003268072,0.03592908,0.5740112,0.2616023,0.0009297145,0.04439637],"study_design_scores_gemma":[0.001041993,0.0004864738,0.28051,0.003064466,0.001001681,0.000006099567,0.01609755,0.2815666,0.4069138,0.001446899,0.006259331,0.001605048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371427,0.0006905853,0.00006879299,0.0001204534,0.00005406315,0.0001427701,0.0003112157,0.000005262585,0.06146414],"genre_scores_gemma":[0.9940112,0.0001013087,0.0008612344,0.00008771626,0.000007909754,0.00001684113,0.00002835458,0.00001054563,0.004874918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2601553,"threshold_uncertainty_score":0.9758477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004557033183283129,"score_gpt":0.1509436737220153,"score_spread":0.1463866405387322,"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."}}