{"id":"W2242070854","doi":"10.1109/tte.2015.2502543","title":"External-Rotor &lt;inline-formula&gt;&lt;tex-math notation=\"LaTeX\"&gt;$6-10$&lt;/tex-math&gt;&lt;/inline-formula&gt; Switched Reluctance Motor for an Electric Bicycle","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Switched reluctance motor; Rotor (electric); Torque ripple; Automotive engineering; Torque; Engineering; Stator; Finite element method; Torque density; Sizing; Topology (electrical circuits); Electrical engineering; Induction motor; Direct torque control; Voltage; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001038926,0.001110337,0.001043953,0.001541979,0.0006537595,0.0002392059,0.0007438097,0.0007684299,0.00009256214],"category_scores_gemma":[0.0000604627,0.001206384,0.000717185,0.003393403,0.00007618781,0.001685002,2.854625e-7,0.0008022977,0.0002267684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009476591,"about_ca_system_score_gemma":0.0004193971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006273309,"about_ca_topic_score_gemma":0.0004946979,"domain_scores_codex":[0.9936097,0.0001449374,0.002139308,0.001388857,0.001369503,0.001347674],"domain_scores_gemma":[0.9959532,0.0003068034,0.0006437688,0.001172263,0.001222578,0.0007014088],"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":[0.0006971446,0.0007739966,0.00002159059,0.0002064815,0.0003697249,0.000008165472,0.001292058,0.06152658,0.8835908,0.002878574,0.0002680327,0.04836692],"study_design_scores_gemma":[0.003580289,0.001271675,0.001985143,0.0001126176,0.0008759476,0.00001740116,0.00003685234,0.6489885,0.3355137,0.001294151,0.004812479,0.001511214],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3476843,0.0007571069,0.6473082,0.000157997,0.0004242075,0.002133827,0.0002805915,0.001098923,0.0001549009],"genre_scores_gemma":[0.9803594,0.0009958564,0.01189046,0.0001371966,0.0004116125,0.001907457,0.001160853,0.0003422777,0.002794937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6354177,"threshold_uncertainty_score":0.9990386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039898729569602,"score_gpt":0.2455435451619493,"score_spread":0.2251445578662533,"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."}}