{"id":"W4293145964","doi":"10.1109/tpel.2022.3176240","title":"Auxiliary Power Module Elimination in EVs Using Dual Inverter Drivetrain","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drivetrain; Automotive engineering; Auxiliary power unit; Inverter; Power (physics); Traction (geology); Dual (grammatical number); Engineering; Computer science; Electrical engineering; Torque; Voltage","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001902709,0.0002102659,0.0001768138,0.0006469116,0.0001984411,0.00002904638,0.0002588934,0.0001154017,0.0004848531],"category_scores_gemma":[0.000005730778,0.0002595793,0.00007755047,0.0008719561,0.00005136293,0.0003657664,0.000006531009,0.001416212,0.00002482369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172331,"about_ca_system_score_gemma":0.00008275791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000780101,"about_ca_topic_score_gemma":0.00006151551,"domain_scores_codex":[0.9983006,0.00006324954,0.0002604555,0.0003021804,0.0004079175,0.0006655959],"domain_scores_gemma":[0.9994615,0.00006046734,0.00002416496,0.0003748229,0.00003072561,0.0000483739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004448312,0.0001777686,0.0000103215,0.00001082156,0.00004205215,0.00003112778,0.0003174153,0.9285114,0.06161573,0.0002082414,0.0001988544,0.008831717],"study_design_scores_gemma":[0.001399964,0.0009150699,0.0002857385,0.00002327057,0.00002187148,0.0001201024,0.0008059487,0.8537809,0.1331275,0.001691091,0.006987048,0.0008414297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5061978,0.0002094819,0.4914765,0.0002356146,0.0004834374,0.0003253563,0.00004198812,0.0005220846,0.0005077047],"genre_scores_gemma":[0.9987558,0.00007605805,0.0006399188,0.0001007312,0.000004980489,0.0001292807,0.00000563588,0.0000711542,0.0002164331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.492558,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339021825110064,"score_gpt":0.2530282199404304,"score_spread":0.2396380016893297,"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."}}