{"id":"W2097437245","doi":"10.1109/apec.2011.5744780","title":"An improved driving method for synchronous rectifier using drain-source voltage sensing","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Filter (signal processing); Rectifier (neural networks); Noise (video); Electronic engineering; Flyback transformer; Computer science; Reliability (semiconductor); Voltage; Electronic filter; Control theory (sociology); Power (physics); Engineering; Electrical engineering; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025436,0.0002400269,0.0002493668,0.0001142268,0.0001194005,0.00003966042,0.0001369135,0.0001124624,0.00008191919],"category_scores_gemma":[0.00006416353,0.0002554315,0.00008834165,0.0001311957,0.00002471883,0.0003794589,0.00003167036,0.0001535108,0.000006907635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744697,"about_ca_system_score_gemma":0.00001859284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000189198,"about_ca_topic_score_gemma":0.0001345656,"domain_scores_codex":[0.9988359,0.00002721085,0.0002557677,0.0003309561,0.00007549065,0.0004746827],"domain_scores_gemma":[0.9991794,0.0001587926,0.00004460027,0.0004211855,0.00005754772,0.0001385103],"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":[0.00000883902,0.000009148364,0.00004091299,0.00003721567,0.00004545231,0.000003624596,0.001361654,0.002496017,0.4465172,0.00004869889,0.00001747172,0.5494137],"study_design_scores_gemma":[0.0002667114,0.00004353289,0.00005174549,0.00002190786,0.00003559317,0.00002695943,0.0005204385,0.9525548,0.04505784,0.0003299936,0.000740679,0.0003498094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02367152,0.00002429792,0.9736527,0.000004574808,0.0005131993,0.0003318779,0.000001857856,0.0008544259,0.0009455983],"genre_scores_gemma":[0.4540476,9.13616e-7,0.5455605,0.00005186865,0.00009114941,0.000004204967,0.000002156438,0.00009046913,0.0001511084],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9500588,"threshold_uncertainty_score":0.9999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038432426718099,"score_gpt":0.2624130642481567,"score_spread":0.2420287399809757,"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."}}