{"id":"W4408282167","doi":"10.1109/iecon55916.2024.10905196","title":"A Multilevel, Multimodule DC-DC Converter Architecture For Universal Electric Vehicle (EV) Battery Charging Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Battery (electricity); Electrical engineering; Computer science; Electric vehicle; Engineering; Physics; Power (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":[0.00008647565,0.0002024836,0.0002887509,0.0003033575,0.0003204645,0.0005243969,0.0006623053,0.0002693351,0.005397502],"category_scores_gemma":[0.0001163853,0.0001094885,0.0002681567,0.0004281025,0.00009786153,0.0005433428,0.0002727424,0.0004922079,0.001420868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002407303,"about_ca_system_score_gemma":0.0001921949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004083725,"about_ca_topic_score_gemma":0.001091996,"domain_scores_codex":[0.9998956,0.00001101045,0.000007477362,0.00002452434,0.00004903571,0.0000123948],"domain_scores_gemma":[0.9999315,0.000006801984,0.000006388263,0.00001339554,0.00003460307,0.000007301361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001769364,0.0001481657,0.001136303,0.000670752,0.00006981502,0.0002836732,0.0001169093,0.01141768,0.6106129,0.01084259,0.005754557,0.3587697],"study_design_scores_gemma":[0.00008053886,0.001511753,0.006937603,0.0001795284,0.0001574739,0.003516449,0.0001668516,0.289159,0.5553212,0.00966517,0.1332145,0.00009006188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09882535,0.001264025,0.8520282,0.0003695405,0.0002132079,0.0002494125,0.0005249531,0.003014473,0.04351082],"genre_scores_gemma":[0.8534529,0.0006649248,0.129879,0.0001895697,0.00007308021,0.000135771,0.0003150694,0.00009726883,0.01519258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005397502,"threshold_uncertainty_score":0.01805645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286965182385194,"score_gpt":0.257189128027157,"score_spread":0.244319476203305,"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."}}