{"id":"W3018678546","doi":"10.1109/epec47565.2019.9074785","title":"High-Performance Multilevel Power Factor Correction Boost-Buck Converter","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Buck converter; Factor (programming language); Power (physics); Power factor; Computer science; Boost converter; Physics","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":[0.0001076322,0.0002351802,0.0003696032,0.000378361,0.0003103841,0.0005402002,0.0005952618,0.0003561418,0.004225594],"category_scores_gemma":[0.0001837867,0.000144082,0.0003216511,0.0004663937,0.00006952708,0.0004751857,0.0002234946,0.0003530484,0.001673683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000299865,"about_ca_system_score_gemma":0.000193285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005225151,"about_ca_topic_score_gemma":0.0008907935,"domain_scores_codex":[0.999814,0.00001937459,0.00001252617,0.00002823253,0.0001048151,0.00002122343],"domain_scores_gemma":[0.9999336,0.00001061312,0.000008624786,0.000009381271,0.0000334648,0.000004349423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003518118,0.0001398872,0.001650917,0.0006589257,0.00008733427,0.0006371576,0.0002357409,0.03216742,0.4619904,0.01930921,0.006293485,0.4764777],"study_design_scores_gemma":[0.0001392126,0.0007886162,0.007108792,0.0001695619,0.0001394103,0.002636319,0.0001379886,0.5501145,0.3022871,0.0150073,0.1213524,0.0001188525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09208786,0.001308953,0.8257344,0.0002291697,0.0001536455,0.0001482738,0.0003146522,0.003648163,0.07637476],"genre_scores_gemma":[0.9240326,0.0004145782,0.05964107,0.00007250856,0.00004363571,0.00005808535,0.0002634262,0.00006731826,0.01540682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004225594,"threshold_uncertainty_score":0.01413596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005047740035902672,"score_gpt":0.1843787364947503,"score_spread":0.1793309964588476,"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."}}