{"id":"W4411408336","doi":"10.1109/jestpe.2025.3581143","title":"Variable Switching Frequency Control for Efficiency and Power Density Improvement of a GaN-Based Traction Inverter for EV Applications","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Magna International (Canada); University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Inverter; Switching frequency; Traction (geology); Electrical engineering; Power (physics); Materials science; Electronic engineering; Optoelectronics; Voltage; 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":[0.00007430639,0.0001987254,0.0001486582,0.0001827152,0.0001416928,0.0002677362,0.0003131683,0.0001381808,0.001054511],"category_scores_gemma":[0.0001171315,0.00007242853,0.000129866,0.0002036195,0.0001121017,0.0002064857,0.00009308129,0.000183803,0.0001530379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002364677,"about_ca_system_score_gemma":0.0001006844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008532965,"about_ca_topic_score_gemma":0.001951226,"domain_scores_codex":[0.9999508,0.000004780124,0.00000224262,0.00001187117,0.00002311099,0.000007186788],"domain_scores_gemma":[0.9999504,0.0000155353,0.00001076896,0.000006644212,0.00001446473,0.000002231415],"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":[0.0002947607,0.0001384527,0.001878894,0.0002030021,0.00003320407,0.0001243248,0.0001498042,0.04269207,0.8019711,0.004949031,0.00119009,0.1463753],"study_design_scores_gemma":[0.00004372791,0.0005097139,0.00592509,0.00003112179,0.00004136499,0.0001982515,0.00007441845,0.6688308,0.3120691,0.002312416,0.00994194,0.0000220868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6437976,0.0007410576,0.3346309,0.0002033338,0.00008045726,0.00005661766,0.000166124,0.000620292,0.01970363],"genre_scores_gemma":[0.9920638,0.00007600005,0.007097103,0.000009617661,0.000005642168,0.000007153335,0.00002104163,0.00001291623,0.0007066465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001054511,"threshold_uncertainty_score":0.003527761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003336271262243238,"score_gpt":0.2301093768737924,"score_spread":0.2267731056115492,"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."}}