{"id":"W4387250372","doi":"10.23919/epe23ecceeurope58414.2023.10264378","title":"An Efficient Method for Steady-State Analysis of Switching Power Converters with Non-Linear Inductors","year":2023,"lang":"en","type":"article","venue":"","topic":"Induction Heating and Inverter Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Ericsson (Canada)","funders":"Mitacs","keywords":"Inductor; Converters; Steady state (chemistry); Computation; Computer science; Control theory (sociology); Power (physics); Linearity; Operating point; Boundary value problem; Newton's method; Electronic engineering; Mathematics; Voltage; Engineering; Nonlinear system; Algorithm; Electrical engineering; Physics","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":[0.0005986337,0.0006573557,0.0006688225,0.0004949548,0.0004089107,0.0006227595,0.001020143,0.0007440558,0.005839731],"category_scores_gemma":[0.0008251019,0.0004183667,0.0005571773,0.0003755086,0.0005286185,0.0008242464,0.0005688854,0.001215383,0.001384584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003226957,"about_ca_system_score_gemma":0.0006418157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007289443,"about_ca_topic_score_gemma":0.001140034,"domain_scores_codex":[0.9998311,0.00004651583,0.000007703224,0.00001847354,0.00008398786,0.00001215953],"domain_scores_gemma":[0.9997465,0.0001414297,0.00001603435,0.00002486238,0.00006092861,0.00001015935],"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":[0.000101742,0.0001099708,0.0004312172,0.0009619872,0.00007155358,0.0002272312,0.000270398,0.4910659,0.06921426,0.1858018,0.00371296,0.248031],"study_design_scores_gemma":[0.00001142718,0.00002720864,0.00008957962,0.00002987917,0.000006806748,0.00004812259,0.00001334836,0.97408,0.004595235,0.01512389,0.00596267,0.00001193467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007203794,0.00007291533,0.9981279,0.00001280646,0.00001645113,0.00001717635,0.00001000096,0.0001015203,0.000920901],"genre_scores_gemma":[0.1348314,0.0004697131,0.8551357,0.00005777347,0.00003739211,0.0003786671,0.0001226692,0.0003708426,0.00859588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005839731,"threshold_uncertainty_score":0.01953584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429305637801735,"score_gpt":0.2778061357978956,"score_spread":0.2635130794198783,"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."}}