{"id":"W2890624277","doi":"10.1109/compel.2018.8459935","title":"Efficiency Optimization of a 7-Switch Flying Capacitor Buck Converter Power Stage IC Using Simulation and Geometric Programming","year":2018,"lang":"en","type":"article","venue":"","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Capacitor; Network topology; Geometric programming; Converters; Buck converter; Computer science; Power (physics); Electronic engineering; Point (geometry); Topology (electrical circuits); Operating point; Inductor; Electrical engineering; Engineering; Voltage; Mathematics","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":[0.0003058483,0.0004428401,0.000363011,0.0003025901,0.0002363088,0.000525231,0.0004436738,0.0004260223,0.002104536],"category_scores_gemma":[0.0005304941,0.000337095,0.0004598875,0.0003078232,0.0004232111,0.0003647218,0.0002736656,0.0003831117,0.000168574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007928677,"about_ca_system_score_gemma":0.0008435932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002863815,"about_ca_topic_score_gemma":0.003323406,"domain_scores_codex":[0.9998868,0.00002646168,0.000002848121,0.00001300627,0.000050937,0.00002005564],"domain_scores_gemma":[0.9998357,0.0001009576,0.00001677345,0.00001067562,0.00002919783,0.000006548129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001071498,0.000006345841,0.0001133376,0.00001220695,0.000005435526,0.00001763453,0.0000082206,0.991844,0.001819254,0.002304432,0.00009885764,0.003759558],"study_design_scores_gemma":[0.000003454836,0.00001672297,0.00004712085,0.000001105817,0.00000273709,0.000005682361,0.000003188921,0.9980064,0.001006145,0.0007040327,0.000201984,0.000001410103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2712452,0.0001718726,0.6894996,0.0003010883,0.00002486939,0.00009069186,0.00009487157,0.0005478002,0.03802411],"genre_scores_gemma":[0.9174393,0.00008123472,0.07863447,0.0000436734,0.000006306744,0.00008262833,0.00005527426,0.00008494154,0.003572209],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002863815,"threshold_uncertainty_score":0.007040441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778085115696692,"score_gpt":0.2648652617272373,"score_spread":0.2370844105702704,"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."}}