{"id":"W4310969298","doi":"10.1109/iecon49645.2022.9968499","title":"A Fully Soft-Switched Resonant Based DC-DC Converter using Adder Architecture for Fast EV Battery Charging Applications","year":2022,"lang":"en","type":"article","venue":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Adder; Battery (electricity); Electrical engineering; Voltage; Computer science; Power (physics); Electronic engineering; Range (aeronautics); Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005519369,0.00044709,0.0005515437,0.0000907283,0.000604953,0.00006681751,0.0009870086,0.0002697288,0.0002865013],"category_scores_gemma":[0.00005928936,0.0004354223,0.0005488624,0.0005295323,0.0001636187,0.0002026756,0.0001427081,0.001728399,0.000002855052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008184399,"about_ca_system_score_gemma":0.001351469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003660218,"about_ca_topic_score_gemma":0.00002875146,"domain_scores_codex":[0.9971572,0.0001384318,0.0006340162,0.0005584048,0.0005489342,0.0009630786],"domain_scores_gemma":[0.9983534,0.0002592099,0.0003279452,0.0006722908,0.0002453726,0.0001417367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007691648,0.0004021952,0.0002141902,0.0004411063,0.001309724,0.000003977756,0.008720102,0.2124707,0.308906,0.0009057301,0.0235137,0.4423434],"study_design_scores_gemma":[0.003417213,0.0002422392,0.000008597425,0.00005884966,0.0001752855,0.00001675013,0.002672031,0.9254394,0.01548275,0.0007700516,0.05097626,0.0007405398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06049208,0.0004611942,0.9313281,0.001590954,0.001608566,0.002540796,0.001673055,0.0002625699,0.00004269147],"genre_scores_gemma":[0.99673,0.00002121184,0.0008586253,0.0007002717,0.0004465366,0.0007877965,0.0001034725,0.0001195895,0.0002324816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9362379,"threshold_uncertainty_score":0.9998097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02845023193279967,"score_gpt":0.2380159265349705,"score_spread":0.2095656946021708,"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."}}