{"id":"W2136678985","doi":"10.1109/apec.2010.5433682","title":"One-step digital dead-time correction for DC-DC converters","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Converters; Dead time; Computer science; Digital control; Electronic engineering; MOSFET; Power (physics); Buck converter; Power MOSFET; Controller (irrigation); Voltage; Control theory (sociology); Engineering; Electrical engineering; Control (management); Transistor; 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":[],"consensus_categories":[],"category_scores_codex":[0.00003870821,0.000168101,0.0001755147,0.00007419808,0.00004590645,0.00006457361,0.0001288569,0.0001069002,0.0003021912],"category_scores_gemma":[0.00004887039,0.000185557,0.00008901313,0.00008929922,0.00003784931,0.0004890691,0.00002052328,0.0001777953,0.0005992005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005478186,"about_ca_system_score_gemma":0.00001091109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007699067,"about_ca_topic_score_gemma":0.00003561892,"domain_scores_codex":[0.9992021,0.000002561074,0.0001839658,0.0002029438,0.0001079953,0.0003004412],"domain_scores_gemma":[0.9994625,0.0001115403,0.00002310602,0.0002461447,0.00004487796,0.0001118471],"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":[0.00002816094,0.00002950283,0.0002984474,0.00003461879,0.00007656459,0.000001433585,0.00009248515,0.0002468605,0.06722797,0.0002556729,0.0103864,0.9213219],"study_design_scores_gemma":[0.0007000269,0.00005518728,0.0002826934,0.00001088428,0.00002090359,0.00001192978,0.00006158485,0.95147,0.01158572,0.000181903,0.03525144,0.00036768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02952855,0.000007854991,0.9562784,0.00006988423,0.00339017,0.0003364259,0.00001808893,0.00100565,0.009364983],"genre_scores_gemma":[0.9887211,0.000002563185,0.005519888,0.0001206088,0.0001573596,0.00004712641,0.00004236311,0.00006804553,0.005320889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9591926,"threshold_uncertainty_score":0.770171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006077320910840784,"score_gpt":0.1983512214308771,"score_spread":0.1922739005200363,"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."}}