{"id":"W4401360445","doi":"10.1109/compel57542.2024.10614066","title":"Energy-Based Averaged Switch Modeling Applied to a High-Step Down Quasi-Resonant Soft-Switched Converter","year":2024,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Energy (signal processing); Switched capacitor; Physics; Materials science; Electronic engineering; Computer science; Electrical engineering; Engineering; Capacitor; Voltage","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":[0.0001582096,0.0003623613,0.0003728767,0.0002545446,0.0002805197,0.0007153238,0.0007935237,0.0004793002,0.002317416],"category_scores_gemma":[0.0002329732,0.0001840087,0.0005135163,0.0001819069,0.0002879477,0.0006699883,0.0003238799,0.0004541436,0.0004184284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004649056,"about_ca_system_score_gemma":0.000377736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003264281,"about_ca_topic_score_gemma":0.002619612,"domain_scores_codex":[0.9999025,0.00002244332,0.000005145306,0.0000169728,0.00004495091,0.000008048393],"domain_scores_gemma":[0.9999434,0.00001787306,0.000007780717,0.00001163475,0.00001600831,0.000003342528],"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":[0.00005670727,0.00003738283,0.0003419359,0.00006672592,0.00002756274,0.0001968143,0.0001208898,0.90905,0.02908743,0.04141636,0.0005357727,0.01906236],"study_design_scores_gemma":[0.000001648611,0.000008950775,0.00004218089,0.000001791954,0.000002867392,0.00001337247,0.000005049357,0.9964895,0.001004037,0.00192807,0.0005002594,0.000002245497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03125484,0.0001409789,0.9544365,0.0001205736,0.00004851104,0.00003822702,0.00007934302,0.0004447204,0.01343646],"genre_scores_gemma":[0.9309632,0.0003649767,0.05803382,0.00008418623,0.0000277782,0.0001150765,0.00009799303,0.000101212,0.01021182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003264281,"threshold_uncertainty_score":0.007752597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129472854310843,"score_gpt":0.2019177942375519,"score_spread":0.1906230656944434,"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."}}