{"id":"W2053231500","doi":"10.1109/compel.2010.5562362","title":"An investigation of steady-state averaging for the single-inductor dual-output buck converter using Fourier analysis","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Duty cycle; Buck converter; Inductor; Boost converter; Steady state (chemistry); Buck–boost converter; Voltage; Waveform; Transfer function; Power (physics); Operating point; Computer science; Transient (computer programming); Electronic engineering; Physics; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004988952,0.0002220576,0.0003169354,0.0002178198,0.0002203886,0.0004578972,0.0003874516,0.0002583466,0.0008466633],"category_scores_gemma":[0.001226753,0.0001332344,0.0002831109,0.0002110389,0.0002610474,0.0005964956,0.0001560584,0.0003486382,0.0001405559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002974666,"about_ca_system_score_gemma":0.0002968976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000882987,"about_ca_topic_score_gemma":0.0009203285,"domain_scores_codex":[0.999836,0.00002363474,0.000007974378,0.00002055583,0.00009928348,0.00001250594],"domain_scores_gemma":[0.9997132,0.0001638288,0.00002510963,0.00003248968,0.00006001772,0.000005209262],"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":[0.0002982451,0.0002150224,0.003398484,0.0004392057,0.00008065954,0.0007106412,0.0005836022,0.3735275,0.3003089,0.09601413,0.00124372,0.2231799],"study_design_scores_gemma":[0.000002595148,0.00003850587,0.0003566233,0.000006173173,0.000005717816,0.00007000823,0.00001390947,0.9815123,0.01548654,0.001973688,0.0005284288,0.000005442747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1429247,0.0003537168,0.8430189,0.0001313259,0.00003885577,0.00005600996,0.00002995574,0.0005135635,0.0129329],"genre_scores_gemma":[0.9295328,0.0002727903,0.06817999,0.00002602665,0.00001541741,0.00002849698,0.00002785358,0.00004702455,0.001869534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000882987,"threshold_uncertainty_score":0.002832353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386029223306401,"score_gpt":0.2456697194389968,"score_spread":0.2218094272059327,"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."}}