{"id":"W2040943614","doi":"10.1049/ip-gtd:20041060","title":"Modelling and simulation of three-phase transformers for inrush current studies","year":2005,"lang":"en","type":"article","venue":"IEE Proceedings - Generation Transmission and Distribution","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Jacobian matrix and determinant; Inrush current; Control theory (sociology); Transformer; Nonlinear system; Newton's method; Iterative method; Ferroresonance in electricity networks; Piecewise; Equivalent circuit; Mathematics; Electronic circuit; Computer science; Applied mathematics; Algorithm; Voltage; Engineering; Mathematical analysis; Physics; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002296821,0.000106286,0.0001390527,0.00002802763,0.0002570095,0.00004999993,0.00003117577,0.00004923846,0.00001885715],"category_scores_gemma":[0.00001574189,0.00008570474,0.0000291018,0.00006859292,0.00007134494,0.0002600093,0.000005805322,0.000036604,5.967655e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002102982,"about_ca_system_score_gemma":0.00001721144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003966753,"about_ca_topic_score_gemma":0.000001539306,"domain_scores_codex":[0.9992162,0.00000448339,0.0003071651,0.0002246971,0.0001250374,0.0001224315],"domain_scores_gemma":[0.9995698,0.00001848087,0.00008618648,0.00002660088,0.0002246915,0.00007427929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000129661,0.0001233497,0.00001102927,0.0002904737,0.000005526612,9.174307e-9,0.0008804557,0.02495898,0.5816727,0.002832881,0.0002304441,0.3888645],"study_design_scores_gemma":[0.0007735909,0.0001113664,0.000005929463,0.00003768134,0.00003651637,6.337928e-7,0.0001107473,0.7891417,0.1963426,0.0005030621,0.01284563,0.00009045677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4624908,0.001962752,0.5347061,0.000444056,0.00002558054,0.0002893707,0.00005390158,0.00001858446,0.000008812117],"genre_scores_gemma":[0.9951844,0.001017251,0.003477124,0.00001804361,0.0001091229,0.00008680794,0.0000884066,0.000005900419,0.00001297876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7641827,"threshold_uncertainty_score":0.3494938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08666965090118724,"score_gpt":0.337935465539721,"score_spread":0.2512658146385338,"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."}}