{"id":"W4390416311","doi":"10.1109/ecce53617.2023.10362003","title":"Impact of Memory Motors on Electric Vehicle Inverter Efficiency","year":2023,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Inverter; Traction motor; Automotive engineering; Magnet; Computer science; Traction (geology); Electrical engineering; AC motor; Electric vehicle; Electric motor; Power (physics); Engineering; Physics; Voltage; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00009506932,0.00009856351,0.0001469683,0.0003942407,0.00001967713,0.000007588427,0.0001050454,0.00004328581,0.0002216835],"category_scores_gemma":[0.0000171598,0.0000759253,0.0001519506,0.001707245,0.000006414758,0.00003416199,0.000006130998,0.00008308272,0.0002669103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005929303,"about_ca_system_score_gemma":0.00001478783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006075684,"about_ca_topic_score_gemma":0.000001447774,"domain_scores_codex":[0.9993517,0.00001340956,0.0001417923,0.0001032628,0.0001504174,0.0002393967],"domain_scores_gemma":[0.9996976,0.00005494292,0.0000137429,0.0001608388,0.00001691911,0.00005597668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001569223,0.0001034088,0.00796535,0.00004957764,0.0003232963,0.00001464437,0.0002226072,0.07665889,0.7707407,0.0001503649,0.03124233,0.1125131],"study_design_scores_gemma":[0.000150918,0.0001799603,0.02045429,0.00000452218,0.00001456752,5.053922e-7,0.000003108357,0.951376,0.02764624,0.00004709181,0.00001451085,0.0001082903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857263,0.00004349387,0.000841394,0.000007737967,0.0000338367,0.00006426503,0.000001029412,0.0003753557,0.01290662],"genre_scores_gemma":[0.9986698,0.00004045302,0.00001755741,0.00001530694,0.00002516043,0.000004753756,0.000002197423,0.00001761003,0.001207177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8747171,"threshold_uncertainty_score":0.3430681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009263638658497554,"score_gpt":0.2251424472432517,"score_spread":0.2158788085847542,"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."}}