{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005753875,0.0001997444,0.0002599539,0.00005984198,0.00006406038,0.00004588423,0.0001163332,0.00009837623,0.00008357989],"category_scores_gemma":[0.00003631881,0.0002012187,0.00009764532,0.00006833088,0.00002254503,0.0003216013,0.00001394445,0.00008485973,0.0002398427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001687069,"about_ca_system_score_gemma":0.00001406968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001760228,"about_ca_topic_score_gemma":0.00002337779,"domain_scores_codex":[0.9990461,0.000009663836,0.0002508259,0.0002280293,0.0001200072,0.0003453677],"domain_scores_gemma":[0.9995009,0.00011708,0.00003894273,0.0001940665,0.00006620309,0.00008275221],"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":[0.0001253788,0.00007094158,0.00101602,0.0002623672,0.0002407453,0.000001468523,0.001766392,0.01178585,0.4563822,0.0004837195,0.001750402,0.5261145],"study_design_scores_gemma":[0.002866452,0.00004014209,0.0002052583,0.00002001199,0.00001632082,0.000001309824,0.000231857,0.9898612,0.003887866,0.0000375666,0.002555655,0.0002763198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05377945,0.00003983768,0.9437191,0.00004292043,0.001056485,0.0007252865,0.0000287913,0.0003595607,0.0002485267],"genre_scores_gemma":[0.9418104,0.000002734201,0.05634796,0.0002362092,0.00006442335,0.00007000994,0.00001890225,0.00006667625,0.001382709],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9780754,"threshold_uncertainty_score":0.8205462,"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."}}