{"id":"W2947737632","doi":"10.1109/apec.2019.8721989","title":"Single Mode Near Minimum Deviation Controller for Multi-Level Flying Capacitor Converters","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Ripple; Capacitor; Controller (irrigation); Inductor; Duty cycle; Voltage; Converters; Pulse-width modulation; Transient response; Transient (computer programming); Computer science; Engineering; Electrical 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":[0.0001865741,0.0002976731,0.000236615,0.0002551051,0.000252829,0.0004451232,0.0009213963,0.0002602058,0.001805642],"category_scores_gemma":[0.0003857851,0.00009844444,0.0001575456,0.0001724089,0.0001580801,0.0003583792,0.0002373887,0.0004993513,0.0002926552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000278855,"about_ca_system_score_gemma":0.000200126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005128857,"about_ca_topic_score_gemma":0.001075581,"domain_scores_codex":[0.9997429,0.00002102102,0.00001665444,0.00004935958,0.0001545685,0.00001545094],"domain_scores_gemma":[0.9998023,0.00004497025,0.00003547932,0.00003606988,0.00006915606,0.00001203502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003889056,0.0001012233,0.0009189181,0.0003568124,0.0000422052,0.0001669394,0.0001858311,0.01496048,0.591969,0.005549312,0.001564411,0.383796],"study_design_scores_gemma":[0.0001381652,0.001105058,0.003171433,0.00005255551,0.00006003727,0.0009650447,0.00005269749,0.4452873,0.5274974,0.002441284,0.01917088,0.00005817209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1131,0.0008125348,0.8755909,0.0001400534,0.000175482,0.000107019,0.00008131391,0.002263894,0.007728844],"genre_scores_gemma":[0.925887,0.0001426886,0.07091583,0.0000795963,0.00004849151,0.00005611676,0.00005206425,0.00005872668,0.0027595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001805642,"threshold_uncertainty_score":0.006040454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207345176851255,"score_gpt":0.2527915327196569,"score_spread":0.2107180809511443,"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."}}