{"id":"W7117897677","doi":"10.1109/icicnis66685.2025.11315662","title":"Self-Adaptive Fuzzy Logic Controlled Buck– Boost Converter for Efficient EV Battery Charging","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Control theory (sociology); Fuzzy logic; Duty cycle; Overshoot (microwave communication); Settling time; Boost converter; Ripple; 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":[0.0001978685,0.000254409,0.000271382,0.0003111072,0.0002820236,0.000434738,0.0006657039,0.0003160986,0.002075352],"category_scores_gemma":[0.0002284871,0.0001427849,0.000248646,0.0002998258,0.0001300981,0.0002924309,0.0001804269,0.000389853,0.0004985837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301033,"about_ca_system_score_gemma":0.0003751025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456462,"about_ca_topic_score_gemma":0.002041949,"domain_scores_codex":[0.9998364,0.0000158313,0.00001307331,0.00002668426,0.00009144797,0.00001646526],"domain_scores_gemma":[0.9999121,0.00001463666,0.000009964169,0.00000814778,0.00005048274,0.000004524166],"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":[0.0004872615,0.0003018719,0.001253145,0.0009519945,0.0001114717,0.0006136426,0.0002300426,0.1084456,0.4746807,0.007983772,0.006694143,0.3982464],"study_design_scores_gemma":[0.00007543693,0.0003905405,0.001432962,0.00004792841,0.00005275138,0.0005274713,0.00004816278,0.8291443,0.1505678,0.001660501,0.01600734,0.00004486269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1005508,0.001343899,0.8586428,0.0002500489,0.0003358764,0.0002699538,0.0001728289,0.003167062,0.03526678],"genre_scores_gemma":[0.946434,0.0002934124,0.04429304,0.000133842,0.0000306968,0.0001043045,0.0001074948,0.00003761998,0.008565531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002075352,"threshold_uncertainty_score":0.006942689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009670035108243902,"score_gpt":0.2322944104300924,"score_spread":0.2226243753218485,"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."}}