{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006610731,0.0004599541,0.0007294571,0.0006969294,0.0003603105,0.001071179,0.0009193671,0.0007264851,0.004064177],"category_scores_gemma":[0.002901263,0.0002536156,0.0003969849,0.0006118217,0.0003650005,0.001512974,0.0005858472,0.0004988836,0.001190385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006170725,"about_ca_system_score_gemma":0.0001769552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008399296,"about_ca_topic_score_gemma":0.0007240273,"domain_scores_codex":[0.9990491,0.0001412735,0.00005016324,0.0001594283,0.0004336572,0.0001663987],"domain_scores_gemma":[0.9986616,0.0006670422,0.0001528186,0.0001352816,0.0003553715,0.00002783813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004912527,0.001320444,0.02910007,0.001018995,0.0001955548,0.001135294,0.0004875567,0.06748103,0.4344491,0.003892872,0.001965488,0.4540411],"study_design_scores_gemma":[0.0001555113,0.002989452,0.03370955,0.00005767284,0.0002201331,0.0006225317,0.0002783534,0.07445577,0.8785325,0.0007034901,0.008224715,0.0000502667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630724,0.0007812309,0.02476033,0.0001220045,0.00002645139,0.00003591182,0.0001392586,0.0005826776,0.01047986],"genre_scores_gemma":[0.9943515,0.0002050138,0.001922091,0.00002395943,0.000005695088,0.00001626978,0.0001053139,0.0001029115,0.003267198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004064177,"threshold_uncertainty_score":0.013596,"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."}}