{"id":"W2027434560","doi":"10.1109/tpel.2014.2357815","title":"An Adaptive ZVS Full-Bridge DC–DC Converter With Reduced Conduction Losses and Frequency Variation Range","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Inductor; EMI; Electromagnetic interference; Electronic engineering; Equivalent circuit; Frequency domain; Range (aeronautics); Voltage; Control theory (sociology); Electrical engineering; Computer science; Materials science; Engineering","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":[0.0001157282,0.000237008,0.0002633704,0.0001908279,0.0001488592,0.0004151861,0.0006897305,0.0002213586,0.001427332],"category_scores_gemma":[0.0001044767,0.00009290456,0.0002441927,0.0001848274,0.000140019,0.0003977384,0.0001938034,0.000300906,0.00036392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660741,"about_ca_system_score_gemma":0.0001751846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002178982,"about_ca_topic_score_gemma":0.0002948877,"domain_scores_codex":[0.9999256,0.000006579656,0.000004341614,0.00001697416,0.00004007298,0.000006501735],"domain_scores_gemma":[0.9999548,0.000008082837,0.000007181576,0.000008238713,0.00001794031,0.000003744439],"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":[0.0002786958,0.0001421663,0.0006950118,0.0003668103,0.0000462578,0.0002800718,0.0001262909,0.03613922,0.7451459,0.01546093,0.001257061,0.2000616],"study_design_scores_gemma":[0.0001240555,0.0009162326,0.00428138,0.00004132244,0.00007092798,0.001518682,0.0000535678,0.7129203,0.2457342,0.005404909,0.02889242,0.00004199964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1471903,0.0004452128,0.8370374,0.0001026554,0.00007656066,0.000135834,0.0001288682,0.001294806,0.01358845],"genre_scores_gemma":[0.9354979,0.0002239787,0.05963442,0.00005309393,0.00003033409,0.00006887397,0.0001167161,0.00005198969,0.004322743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001427332,"threshold_uncertainty_score":0.004774868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008026248496475978,"score_gpt":0.211772450772842,"score_spread":0.203746202276366,"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."}}