{"id":"W2891695473","doi":"10.1109/compel.2018.8460017","title":"Digital Average Current Programmed Mode Control for Multi-level Flying Capacitor Converters","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Converters; Control theory (sociology); Inductor; Capacitor; Controller (irrigation); Buck converter; Voltage; Digital control; Computer science; Engineering; Electronic engineering; Control (management); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004766426,0.0002726259,0.0002607169,0.00007776966,0.0001004442,0.00009769302,0.0001857369,0.00007094748,0.0000353909],"category_scores_gemma":[0.00005646794,0.0002598253,0.0001237589,0.00008345769,0.0001022352,0.0004671772,0.0000217258,0.000127556,0.0001167802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001390154,"about_ca_system_score_gemma":0.00001855712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005420944,"about_ca_topic_score_gemma":0.00002371254,"domain_scores_codex":[0.9987235,0.000006641601,0.0002789847,0.000285381,0.0001487041,0.0005567932],"domain_scores_gemma":[0.9993474,0.00007411587,0.00003504649,0.0002554594,0.0001073985,0.0001805156],"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":[0.00003462878,0.0000390838,0.0002399827,0.00007485926,0.00007766482,0.000001309042,0.0003516127,0.0001232199,0.001899417,0.0001361325,0.0006049358,0.9964172],"study_design_scores_gemma":[0.002868639,0.00006428867,0.0001084382,0.00002887414,0.00001681569,0.000003249183,0.00008938409,0.9832395,0.0009276323,0.00005683871,0.01223533,0.0003610208],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003405144,0.00005893291,0.9926441,0.00002867117,0.00177795,0.0009366204,0.0001718619,0.0007553514,0.0002213117],"genre_scores_gemma":[0.984245,0.000005059431,0.01463103,0.00008394972,0.0003006704,0.0002455835,0.00003340178,0.00007705895,0.0003782124],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9960561,"threshold_uncertainty_score":0.9999854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04564708965850736,"score_gpt":0.2856310305802365,"score_spread":0.2399839409217292,"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."}}