{"id":"W2141682830","doi":"10.1109/ccece.2010.5575138","title":"Modeling of planar transformer parasitics using design of experiment methodology","year":2010,"lang":"en","type":"article","venue":"","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Planar; Parasitic extraction; Inductance; Transformer; Leakage inductance; Parametric statistics; Finite element method; Electronic engineering; Nonlinear system; Equivalent series inductance; Topology (electrical circuits); Transformer types; Voltage; Computer science; Engineering; Flyback transformer; Electrical engineering; Mathematics; Structural engineering; Physics","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":[0.0007361409,0.0008177859,0.0005920584,0.0004088871,0.0001894994,0.0004773662,0.0008548195,0.000759958,0.002055402],"category_scores_gemma":[0.001092501,0.0004051999,0.0008285981,0.0003659633,0.0003961265,0.0005180407,0.0002749363,0.0004973031,0.0003208013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004865679,"about_ca_system_score_gemma":0.0005478867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007649212,"about_ca_topic_score_gemma":0.0008170015,"domain_scores_codex":[0.9995437,0.0001149875,0.00002044688,0.00008889666,0.0001972353,0.00003461734],"domain_scores_gemma":[0.9993135,0.00036898,0.0001222855,0.00009075971,0.00009477943,0.00000961234],"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":[0.00004428194,0.00003661773,0.0004453726,0.0001536128,0.0000369604,0.00004604505,0.00003475825,0.9511478,0.03212103,0.003640767,0.0001931389,0.01209969],"study_design_scores_gemma":[0.00001158981,0.0001346208,0.0002039013,0.000005347197,0.00001793094,0.00003009783,0.000008132148,0.9804105,0.01630918,0.0008280516,0.002032623,0.000008113548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0374205,0.0001104577,0.9581732,0.00003229053,0.00002591009,0.00015589,0.0002015996,0.0007130221,0.003167153],"genre_scores_gemma":[0.5238745,0.0003808896,0.4719418,0.00003544623,0.00001578357,0.000766772,0.0002773638,0.0001150867,0.002592265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002055402,"threshold_uncertainty_score":0.006875992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1536715191992135,"score_gpt":0.3254974382757761,"score_spread":0.1718259190765626,"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."}}