{"id":"W4284884034","doi":"10.1109/itec53557.2022.9814055","title":"Multi-physics Design Platform for a High Power Density Multi-phase IPM Traction Motor: Analysis and Simulation","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Noise, vibration, and harshness; Power density; Magnet; Traction (geology); Computational fluid dynamics; Computer science; Electromagnetic coil; Traction motor; Electromagnetics; Vibration; Mechanical engineering; Power (physics); Automotive engineering; Physics; Electronic engineering; Engineering; Electrical engineering; Aerospace engineering; Acoustics","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":[0.0002504999,0.0001713081,0.000282603,0.0002785586,0.0002576472,0.00004303521,0.00006969706,0.000057147,0.00014538],"category_scores_gemma":[0.00002402386,0.0001778226,0.0001797393,0.0007809256,0.000008337531,0.000202557,0.00001702739,0.0001427519,0.000002764428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564839,"about_ca_system_score_gemma":0.00001108714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008396662,"about_ca_topic_score_gemma":0.00002840673,"domain_scores_codex":[0.9990745,0.00003421273,0.0002413041,0.0002515748,0.00017597,0.0002224668],"domain_scores_gemma":[0.9994309,0.0002067038,0.00005693667,0.0001739974,0.00005339735,0.00007807534],"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":[0.00009443867,0.000254921,0.0003874302,0.00001536629,0.0009926171,0.000003475586,0.000225986,0.9405135,0.03199622,0.00006464614,0.00006513244,0.02538626],"study_design_scores_gemma":[0.001460265,0.0001387844,0.001481667,7.553543e-7,0.0006934594,8.879489e-7,0.00004236853,0.9923985,0.003405293,0.0000881528,0.00007487133,0.0002150032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1936275,0.00004120763,0.8057301,0.0000059596,0.00004928748,0.0003274803,0.00002200393,0.0001868291,0.000009581773],"genre_scores_gemma":[0.9150736,0.00000952545,0.08426923,0.00002914939,0.00002751941,0.00008624303,0.00006589475,0.00002564974,0.000413176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7214609,"threshold_uncertainty_score":0.7251393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325144073862738,"score_gpt":0.2700365220255232,"score_spread":0.2375221146392494,"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."}}