{"id":"W2587969058","doi":"10.1109/ecce.2016.7855510","title":"Thermal analysis of a three-phase 24/16 switched reluctance machine used in HEVs","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Switched reluctance motor; Stator; Coolant; Electromagnetic coil; Rotor (electric); Finite element method; Thermal analysis; Lamination; Mechanical engineering; Operating temperature; Traction motor; Thermal; Operating point; Materials science; Electric motor; Magnetic reluctance; Control theory (sociology); Engineering; Automotive engineering; Electrical engineering; Computer science; Magnet; Physics; Structural engineering; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001778871,0.0001371287,0.0004115133,0.0005260783,0.00001116785,0.000006945722,0.0001559332,0.00006176286,0.001064281],"category_scores_gemma":[0.0000236727,0.00008850149,0.0001928882,0.001813982,0.00001771748,0.00008587093,0.00001043106,0.00007105289,0.00001476609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007351852,"about_ca_system_score_gemma":0.000009985551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002231009,"about_ca_topic_score_gemma":0.001865268,"domain_scores_codex":[0.9990869,0.00002193395,0.0003339877,0.0001675539,0.000164309,0.000225373],"domain_scores_gemma":[0.9994768,0.00009395294,0.0000427339,0.0003056284,0.00002411837,0.00005678989],"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":[0.00006261395,0.0001681476,0.08578847,0.0000265599,0.002292714,0.00001898801,0.0001427363,0.004768151,0.7687863,0.0006114467,0.0002046144,0.1371293],"study_design_scores_gemma":[0.002536776,0.00007924031,0.01853219,0.00003318696,0.0007941679,5.338846e-7,0.000008242208,0.9273025,0.0499474,0.0002122546,0.0001791759,0.0003743202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7879087,0.0003668367,0.209337,0.00009035034,0.00002203101,0.0000728581,0.0000102844,0.0001139286,0.002077987],"genre_scores_gemma":[0.9983786,0.00005790301,0.0008370387,0.00002026478,0.00001568892,0.000009604056,0.000005299304,0.00001708975,0.0006585044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9225343,"threshold_uncertainty_score":0.9998489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334058695484043,"score_gpt":0.2299744731118321,"score_spread":0.2166338861569917,"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."}}