{"id":"W3071865955","doi":"10.1109/tmag.2020.3017383","title":"An Algorithm for Effective Design and Performance Investigation of Active Cooling System for Required Temperature and Torque of PM Traction Motor","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Multiphysics; Torque; Traction motor; Computer science; Computational fluid dynamics; Mechanical engineering; Solver; Finite element method; Water cooling; Electric motor; Automotive engineering; Control theory (sociology); Engineering; Physics; Mechanics","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":[0.0001028703,0.0001194274,0.000214965,0.00009227316,0.0000670578,0.00001305654,0.00003593152,0.0001062352,9.524671e-7],"category_scores_gemma":[0.000005726495,0.0001239255,0.00004590208,0.0001717258,0.00003466331,0.0001428518,1.903638e-7,0.00009596079,8.003648e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003527794,"about_ca_system_score_gemma":0.00001569392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004641514,"about_ca_topic_score_gemma":0.000001061174,"domain_scores_codex":[0.9994403,0.00004025734,0.000194649,0.0001499036,0.0000763064,0.0000986103],"domain_scores_gemma":[0.999477,0.0002034843,0.0000700262,0.00006930472,0.0001058508,0.00007427867],"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":[0.0002664797,0.00001709098,0.000004183061,0.0007196551,0.00008498906,1.527555e-7,0.000820018,0.04073596,0.6894556,0.000003519148,0.00000590518,0.2678864],"study_design_scores_gemma":[0.0003789916,0.001223821,0.0001374665,0.00003687067,0.000123128,0.000001318989,0.00007038021,0.5623514,0.4356052,0.000003861102,0.000002292932,0.00006520213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2913947,0.00007166868,0.7076639,0.000009027819,0.00005159981,0.0006960399,0.00006862204,0.00004297735,0.000001448162],"genre_scores_gemma":[0.9529653,0.0001092483,0.04668806,0.000007657589,0.0000413606,0.0001544641,0.000005162841,0.0000220322,0.000006775861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6615705,"threshold_uncertainty_score":0.5053537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166728109810964,"score_gpt":0.2062725709125424,"score_spread":0.1946052898144328,"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."}}