{"id":"W2611837812","doi":"10.1109/pedes.2016.7914487","title":"Torque-angle characterization of a Synchronous Reluctance Machine","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Torque ripple; Torque; Direct torque control; Stator; Magnetic reluctance; Finite element method; Traction (geology); Switched reluctance motor; Synchronous motor; Reluctance motor; Control theory (sociology); Stall torque; Computer science; Torque motor; Engineering; Mechanical engineering; Automotive engineering; Rotor (electric); Electrical engineering; Physics; Magnet; Structural engineering; Induction motor; Voltage","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":[0.00003601522,0.0000564608,0.00009960149,0.00004977295,0.000008521018,0.000003225969,0.00005459111,0.0000266034,0.0004756798],"category_scores_gemma":[0.000007760513,0.00003700993,0.00003308308,0.0001423829,0.000008064114,0.00006811693,0.000003879775,0.00001802497,0.00003067966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002834625,"about_ca_system_score_gemma":0.000004327353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007518972,"about_ca_topic_score_gemma":0.000004614742,"domain_scores_codex":[0.9996559,0.000006690919,0.0001202575,0.0000655447,0.00006126329,0.00009034479],"domain_scores_gemma":[0.999809,0.00001392693,0.00001915568,0.0001148279,0.00001866511,0.0000243779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001686945,0.000007261151,0.0005343881,0.00001142341,0.00002203379,7.557052e-7,0.00001332751,0.000005855436,0.9227563,0.0003695695,0.00009136246,0.0761861],"study_design_scores_gemma":[0.0006691037,0.0001116494,0.01390451,0.00009127783,0.00005700759,0.000006920244,0.000001906076,0.07274018,0.9051249,0.0002849166,0.00660521,0.0004023908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3607834,0.0001706986,0.6329238,0.00009192697,0.00006670522,0.00006719918,0.00001074747,0.0002270042,0.005658472],"genre_scores_gemma":[0.9968897,0.0001829296,0.0009602523,0.00001445206,0.00003377752,0.000004624143,0.000004344329,0.0000114343,0.001898458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6361063,"threshold_uncertainty_score":0.5208359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004290232516281372,"score_gpt":0.1752191964617664,"score_spread":0.170928963945485,"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."}}