{"id":"W2109351365","doi":"10.1109/tec.2014.2378211","title":"Double-Rotor Switched Reluctance Machine (DRSRM)","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Switched reluctance motor; Torque; Magnetic reluctance; Stator; Electric machine; Rotor (electric); Traction (geology); Torque density; Finite element method; Automotive engineering; Reluctance motor; Electric vehicle; Engineering; Process (computing); Computer science; Electromagnetic coil; Control engineering; Mechanical engineering; Magnet; Electrical engineering; Power (physics); Structural engineering","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":[0.0002194822,0.0005820082,0.0003742005,0.0003851433,0.0001744942,0.0003515836,0.0007514557,0.0004195253,0.002779376],"category_scores_gemma":[0.0004345062,0.0002580637,0.0002860528,0.0002896815,0.0003317745,0.0007708329,0.0003605912,0.0003504459,0.001319322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000136264,"about_ca_system_score_gemma":0.0001722921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001113945,"about_ca_topic_score_gemma":0.0002492394,"domain_scores_codex":[0.999765,0.00003714494,0.00001768082,0.00005897892,0.0001036343,0.00001757826],"domain_scores_gemma":[0.9997944,0.00005166041,0.00004266517,0.00004163726,0.0000528225,0.0000168155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004704881,0.0001133005,0.00153422,0.001416675,0.00006784575,0.0007411696,0.0001779765,0.02762272,0.4490715,0.0259848,0.006630487,0.4861688],"study_design_scores_gemma":[0.0003020069,0.004332114,0.005218856,0.0001670728,0.0001217702,0.008020914,0.0002028062,0.3001783,0.3383235,0.01527186,0.3277266,0.0001342417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1204346,0.002492093,0.845988,0.000234827,0.0003886906,0.0001571139,0.0002698209,0.002584153,0.02745076],"genre_scores_gemma":[0.7569261,0.0009607681,0.2276727,0.0000934055,0.00008055752,0.0001110483,0.0004922023,0.000143937,0.01351929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002779376,"threshold_uncertainty_score":0.009297907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637144114197825,"score_gpt":0.2062189660363948,"score_spread":0.1898475248944165,"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."}}