{"id":"W2168176843","doi":"10.1109/ecce.2011.6064222","title":"Flyback transformer based transient suppression method for digitally controlled buck converters","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Flyback transformer; Flyback converter; Buck converter; Converters; Inductor; Buck–boost converter; Transformer; Slew rate; Control theory (sociology); Electronic engineering; Voltage; Forward converter; Electrical engineering; Transient response; Computer science; Engineering; Boost converter","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":[0.0001069469,0.0002781938,0.0002471365,0.000259475,0.0001937916,0.0003241109,0.0006685405,0.0002359769,0.001605607],"category_scores_gemma":[0.0001988524,0.0001276943,0.0001580408,0.0001888448,0.0001643788,0.0004231471,0.0001783782,0.000298386,0.0003707529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535762,"about_ca_system_score_gemma":0.0002259405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003532491,"about_ca_topic_score_gemma":0.0005222619,"domain_scores_codex":[0.9998689,0.00001657997,0.00001013536,0.00002127433,0.00007216325,0.0000110249],"domain_scores_gemma":[0.9998906,0.00002315657,0.0000188397,0.00001806453,0.00004206687,0.000007255903],"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":[0.0002480497,0.00005308455,0.0002289145,0.0002154549,0.00001606584,0.0001808656,0.0001261434,0.004208984,0.7381245,0.004385162,0.0006910993,0.2515216],"study_design_scores_gemma":[0.00008298094,0.0007681178,0.001115505,0.00003675457,0.00005435757,0.001919104,0.00005558096,0.1957417,0.7815139,0.002406818,0.01625536,0.00004971485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05219338,0.0006287137,0.9407227,0.00006862482,0.0000844844,0.00007155472,0.00003664216,0.001553154,0.004640708],"genre_scores_gemma":[0.8207049,0.0004608913,0.1709349,0.0001019303,0.00006494402,0.0000629159,0.00007850856,0.00007594927,0.007515025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001605607,"threshold_uncertainty_score":0.005371273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182033346325764,"score_gpt":0.235486232744397,"score_spread":0.2172828981118206,"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."}}