{"id":"W4385236363","doi":"10.1109/itec55900.2023.10186963","title":"An EV Integrated Bidirectional DC Fast Charger based on a Dual Wound Synchronous Machine","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery charger; Electrical engineering; Inverter; Voltage; Battery (electricity); Computer science; Capacitor; Electric vehicle; Torque; Rotor (electric); Automotive engineering; Engineering; Power (physics); 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":[0.0001541943,0.0003745561,0.0004898543,0.0003651978,0.0002173282,0.000465206,0.0009760713,0.0003260781,0.003537138],"category_scores_gemma":[0.0001871164,0.0001300998,0.0001965661,0.0002227649,0.0001703995,0.0005892734,0.0003673727,0.0003921354,0.001348937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569967,"about_ca_system_score_gemma":0.0001893663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002150531,"about_ca_topic_score_gemma":0.0003157781,"domain_scores_codex":[0.9997914,0.00001983416,0.00001197803,0.00004081564,0.0001125292,0.0000234916],"domain_scores_gemma":[0.9998367,0.00002038897,0.00002936272,0.00003578625,0.00006061222,0.00001707811],"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":[0.0009943328,0.0003255645,0.002084163,0.001182845,0.00009909215,0.001061432,0.0002010855,0.01020753,0.5515562,0.009051798,0.01394096,0.4092949],"study_design_scores_gemma":[0.0003524502,0.004411842,0.007412699,0.0001122383,0.0001859515,0.00700575,0.0001575464,0.2173373,0.6104136,0.003827389,0.1486407,0.0001425378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3072794,0.001722762,0.6437951,0.0003577387,0.0008304517,0.0004342204,0.0006241985,0.008990267,0.03596585],"genre_scores_gemma":[0.9473425,0.000236795,0.03837243,0.0001087432,0.00006165133,0.00006429876,0.0002178134,0.0001150191,0.01348072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003537138,"threshold_uncertainty_score":0.01183295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580897322979583,"score_gpt":0.2741549492188228,"score_spread":0.258345975989027,"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."}}