{"id":"W3202243738","doi":"10.1109/jestie.2021.3116512","title":"A High-Frequency MMC for DC–DC Applications Using a Three-Winding Transformer With DC Flux Cancellation","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Galvanic isolation; Forward converter; Converters; Transformer; Flyback converter; Modular design; Electrical engineering; Inductor; Electronic engineering; Voltage; Engineering; Computer science; Boost converter","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":[0.0001568063,0.0002915904,0.0002559415,0.0003473099,0.0003265475,0.0005559048,0.0006728758,0.0003611296,0.001787539],"category_scores_gemma":[0.0001798811,0.0001052353,0.0002465371,0.000386677,0.0002016799,0.0004867293,0.0002476181,0.0006135412,0.0006407495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003415424,"about_ca_system_score_gemma":0.0002899203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000260271,"about_ca_topic_score_gemma":0.0005985096,"domain_scores_codex":[0.9998172,0.00001789181,0.000008938542,0.00003833236,0.0001019383,0.00001572847],"domain_scores_gemma":[0.9998765,0.0000175755,0.00001851788,0.000021544,0.00005319168,0.00001273734],"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":[0.0001850092,0.0001140657,0.000971842,0.0003046138,0.00003079875,0.0003259715,0.0001076407,0.003857801,0.7460036,0.01692792,0.002506088,0.2286646],"study_design_scores_gemma":[0.0001247621,0.0008951212,0.00361688,0.00009731299,0.00007438525,0.003663796,0.00007623251,0.1303996,0.7788672,0.004750275,0.07736844,0.0000659584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06944039,0.0007161217,0.9124817,0.0002644929,0.0001963907,0.0001391624,0.00008825251,0.0010824,0.01559115],"genre_scores_gemma":[0.8445817,0.0003116466,0.1507198,0.0002023929,0.0000994096,0.00006064623,0.0001079062,0.00006982209,0.003846659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001787539,"threshold_uncertainty_score":0.005979955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757678132502871,"score_gpt":0.2548711358825042,"score_spread":0.2272943545574754,"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."}}