{"id":"W1593341950","doi":"10.1109/apec.2006.1620624","title":"A New Dual Channel Resonant Gate Drive Circuit for Synchronous Rectifiers","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Electrical engineering; Inductor; Gate driver; Voltage doubler; MOSFET; Engineering; Rectifier (neural networks); RLC circuit; Clamper; Logic gate; Electronic engineering; Voltage; Computer science; Voltage source; Capacitor; Transistor; Dropout voltage","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004735031,0.0001748715,0.0001734041,0.00007698601,0.0000511648,0.00002261042,0.00009156985,0.00007578312,0.00008978861],"category_scores_gemma":[0.00001487671,0.0001774752,0.00007728604,0.0001202606,0.00001739887,0.0001295099,0.00001600972,0.00009124968,0.00007462825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680487,"about_ca_system_score_gemma":0.00003124095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00018583,"about_ca_topic_score_gemma":0.0001973191,"domain_scores_codex":[0.9990734,0.00000504864,0.0001901296,0.0002268268,0.00009943338,0.0004051546],"domain_scores_gemma":[0.9995801,0.00006291534,0.00002130733,0.000209739,0.00002608516,0.00009988045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004550442,0.00003146487,0.00004825877,0.0001347887,0.0001298649,0.00005292771,0.000781653,0.02905143,0.01448466,0.00732533,0.08520269,0.8627114],"study_design_scores_gemma":[0.002872908,0.0002028053,0.0009350552,0.0000856203,0.00007241144,0.00007327853,0.0004645049,0.8680978,0.01501479,0.01923002,0.09167567,0.001275131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002541508,0.0002390986,0.9898974,0.0001057096,0.0006670126,0.0003480754,0.00001070515,0.0006283096,0.005562233],"genre_scores_gemma":[0.9791504,0.00002726897,0.01100221,0.0001044669,0.0004914395,0.00007890365,0.00002329275,0.000101622,0.009020422],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9788951,"threshold_uncertainty_score":0.7237227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00837351214482873,"score_gpt":0.1957243140437682,"score_spread":0.1873508018989395,"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."}}