{"id":"W4391093667","doi":"10.1109/etecte59617.2023.10396714","title":"Fuzzy Logic Control Based Higher Order Dual Output Buck Converter","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Dual (grammatical number); Fuzzy logic; Computer science; Fuzzy control system; Buck converter; Control (management); Order (exchange); Control theory (sociology); Engineering; Artificial intelligence; Economics; Electrical engineering; Finance; 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":[0.0001819546,0.0003292117,0.0003667191,0.0003460939,0.0003866831,0.0008631558,0.0007410168,0.0004663248,0.00372588],"category_scores_gemma":[0.0002050206,0.000151828,0.0003054042,0.000230904,0.0001818421,0.0003817396,0.0002575124,0.0004990517,0.000653359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004075308,"about_ca_system_score_gemma":0.0003876581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676419,"about_ca_topic_score_gemma":0.001583261,"domain_scores_codex":[0.9997705,0.00001838747,0.00001655159,0.00004967066,0.0001164519,0.00002852716],"domain_scores_gemma":[0.9999011,0.00001635435,0.00001272101,0.00001011768,0.00005118843,0.00000855797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006114051,0.0003186741,0.001044625,0.0008977351,0.00008733765,0.001323871,0.0003847307,0.1932076,0.4656183,0.03329336,0.004188391,0.2990238],"study_design_scores_gemma":[0.00008032582,0.000349349,0.0009119863,0.00004695051,0.00004905903,0.000648531,0.00005390722,0.9049795,0.07347555,0.006322614,0.01303631,0.00004581071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09346472,0.00100625,0.84549,0.0002383314,0.0002356379,0.0001704672,0.0001713233,0.001941411,0.05728189],"genre_scores_gemma":[0.9255983,0.0002798467,0.06036215,0.0001281322,0.00003350999,0.00007527334,0.00009032224,0.00003050453,0.01340195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00372588,"threshold_uncertainty_score":0.01246434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556185181104242,"score_gpt":0.2204557570685697,"score_spread":0.2048939052575273,"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."}}