{"id":"W2480872250","doi":"10.1109/itec-ap.2016.7512950","title":"SiC devices performance overview in EV DC/DC converter: A case study in a Nissan Leaf","year":2016,"lang":"en","type":"article","venue":"","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Transport Canada","keywords":"Electrical engineering; Silicon carbide; Insulated-gate bipolar transistor; Voltage; Materials science; Transistor; Diode; Schottky diode; Electric vehicle; Battery (electricity); Power (physics); Automotive engineering; Switching time; Optoelectronics; Computer science; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000162581,0.0002110675,0.0002662686,0.0004576901,0.0005010379,0.000663353,0.0004436378,0.0004349455,0.001939865],"category_scores_gemma":[0.000206826,0.00007078924,0.000253124,0.0004911265,0.0002085802,0.0005072651,0.0002025827,0.0002374183,0.0003484845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005589691,"about_ca_system_score_gemma":0.0001733556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003180557,"about_ca_topic_score_gemma":0.00740088,"domain_scores_codex":[0.9998098,0.00002022389,0.000009543157,0.00003242627,0.0001008189,0.0000272006],"domain_scores_gemma":[0.9998773,0.00003602133,0.000007073478,0.00001205054,0.00005832682,0.000009281026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001614937,0.0006986572,0.04977376,0.001589385,0.0001231743,0.009945388,0.001755962,0.05618919,0.626627,0.004455013,0.004189719,0.2430378],"study_design_scores_gemma":[0.00007190656,0.005241953,0.124544,0.0001682984,0.0002875072,0.0126894,0.003734917,0.1402586,0.6536169,0.002251879,0.05702583,0.0001087482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743298,0.001245566,0.003674139,0.00008372782,0.0000195768,0.00004044888,0.0001218032,0.0001041305,0.02038077],"genre_scores_gemma":[0.9950459,0.0003420801,0.001230676,0.00001512345,0.000004368771,0.000005439061,0.00007941386,0.00001406293,0.003262825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003180557,"threshold_uncertainty_score":0.006489515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03978322090120529,"score_gpt":0.2671496928655881,"score_spread":0.2273664719643828,"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."}}