{"id":"W4280510599","doi":"10.1109/apec43599.2022.9773439","title":"Investigation and Reduction of Common Mode Current in Center-Tapped Transformer of LLC Resonant Converters","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Applied Power Electronics Conference and Exposition (APEC)","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Converters; Transformer; Capacitor; Noise reduction; Electrical engineering; Lossless compression; Electronic engineering; Engineering; Computer science; Topology (electrical circuits); Algorithm; Voltage; Artificial intelligence","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":[0.0002877797,0.0002788279,0.0002921807,0.0003137462,0.0002437791,0.0003883618,0.0005676224,0.0002976643,0.000854835],"category_scores_gemma":[0.000729151,0.0001324617,0.0002706285,0.0002648055,0.0003703684,0.0007235187,0.0002422444,0.0002237173,0.0002055689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003799736,"about_ca_system_score_gemma":0.000297988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005294984,"about_ca_topic_score_gemma":0.0006036435,"domain_scores_codex":[0.9995878,0.00006288,0.00001236707,0.00006307555,0.0002470669,0.00002681527],"domain_scores_gemma":[0.9997086,0.00008797115,0.00004253382,0.00002820404,0.0001214524,0.00001120562],"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":[0.000573449,0.0001087177,0.002909086,0.0004172256,0.00005110188,0.00048604,0.0005574427,0.02415863,0.8161287,0.02165131,0.0008509685,0.1321074],"study_design_scores_gemma":[0.00004095918,0.0005803073,0.002686878,0.00004643953,0.00008112346,0.001182765,0.0001955986,0.4446696,0.5370543,0.004502209,0.008927765,0.00003205527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.322347,0.001951251,0.6576862,0.0002242981,0.0001011722,0.00007586637,0.00003691178,0.0006487236,0.01692856],"genre_scores_gemma":[0.9445448,0.0005212573,0.05212631,0.0000354288,0.00003496699,0.00002144838,0.00003216576,0.00004766207,0.002635953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000854835,"threshold_uncertainty_score":0.002859771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009755157288549829,"score_gpt":0.2149888379946114,"score_spread":0.2052336807060616,"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."}}