{"id":"W2884604220","doi":"10.1109/tte.2018.2859409","title":"Shaft Design for Electric Traction Motors","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; CMC Microsystems","keywords":"Traction motor; Traction (geology); Automotive engineering; Electric motor; Electric traction; Engineering; Switched reluctance motor; Magnet; Brushed DC electric motor; Electric vehicle; Mechanical engineering; Computer science; AC motor; Rotor (electric); Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003074401,0.0005792003,0.0002802826,0.0004089549,0.0002996472,0.0004729692,0.0005363876,0.0004953147,0.008440569],"category_scores_gemma":[0.0006777178,0.0002168782,0.0002230605,0.0003402073,0.0002902992,0.0004491422,0.0002915309,0.0003471493,0.002877498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003936337,"about_ca_system_score_gemma":0.000351553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003650591,"about_ca_topic_score_gemma":0.0005970519,"domain_scores_codex":[0.999606,0.00005853581,0.00002161273,0.00004509118,0.0002472039,0.00002165877],"domain_scores_gemma":[0.9997701,0.00003954877,0.00004466934,0.00002100297,0.0001165936,0.000008040923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002622279,0.00008940388,0.0008696971,0.001507569,0.00002883713,0.0004586779,0.0003870545,0.04014052,0.2045477,0.07739764,0.008379617,0.665931],"study_design_scores_gemma":[0.0001578783,0.001482119,0.002748186,0.0003263335,0.00005034115,0.002322727,0.0001631003,0.1486428,0.1216748,0.02196961,0.7003829,0.00007916723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01486104,0.001681884,0.956277,0.000135456,0.0002383745,0.0001439245,0.00009761471,0.0006458018,0.02591897],"genre_scores_gemma":[0.3953196,0.003446335,0.5283861,0.0001792734,0.0002470355,0.0003383021,0.0002673583,0.000352946,0.07146322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008440569,"threshold_uncertainty_score":0.02823657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871877255697826,"score_gpt":0.2359699243167466,"score_spread":0.2172511517597683,"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."}}