{"id":"W3109229450","doi":"10.1109/icem49940.2020.9270882","title":"An Overview of PM Synchronous Machine Design Solutions for Enhanced Traction Performance","year":2020,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Design for manufacturability; Propulsion; Automotive engineering; Torque density; Torque; Traction (geology); Torque ripple; Power density; Electrically powered spacecraft propulsion; Traction motor; Computer science; Synchronous motor; Power (physics); Engineering; Magnet; Mechanical engineering; Electrical engineering; Direct torque control; Aerospace engineering; Induction motor","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":[0.00009375091,0.00007874924,0.0001463463,0.00003874957,0.00004631369,0.000007489551,0.00007210654,0.00003469295,0.0001346949],"category_scores_gemma":[0.000009429967,0.00007409562,0.00006229774,0.000216827,0.000006057923,0.0001369773,0.000002693898,0.00005240418,0.000008547935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002564939,"about_ca_system_score_gemma":0.00001283745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009195335,"about_ca_topic_score_gemma":0.000004112952,"domain_scores_codex":[0.999512,0.00001415317,0.0001582842,0.00009660207,0.00006358919,0.0001554385],"domain_scores_gemma":[0.9997645,0.000034423,0.00002329284,0.00009060591,0.0000277227,0.00005946797],"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":[0.0000236829,0.00004507978,0.00001558813,0.000287067,0.0000893125,2.055029e-7,0.0001652464,0.1799889,0.6259622,0.0002692046,0.000556216,0.1925973],"study_design_scores_gemma":[0.0001515818,0.0002021605,0.00009973732,0.000007246376,0.00004363207,4.882534e-7,0.000004763778,0.9040559,0.09515493,0.00001758927,0.0001815831,0.00008037237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01171526,0.001058484,0.9864351,0.00004711995,0.00002458641,0.0001714905,0.00000447889,0.0001615186,0.0003819381],"genre_scores_gemma":[0.9867493,0.0008191221,0.01223798,0.00004782612,0.00005253803,0.00002861939,0.00001068476,0.00001433547,0.00003958368],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9750341,"threshold_uncertainty_score":0.3021532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05637283012263072,"score_gpt":0.2619670463877266,"score_spread":0.2055942162650958,"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."}}