{"id":"W2135458017","doi":"10.1109/iemdc.2005.195790","title":"Design aspects of a high speed permanent magnet synchronous motor / generator for flywheel applications","year":2005,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Armature (electrical engineering); Magnet; Flywheel; Stator; Permanent magnet synchronous generator; Finite element method; Mechanical engineering; Rotor (electric); Cogging torque; Automotive engineering; Synchronous motor; Flywheel energy storage; Engineering; Electrical engineering; Materials science; Physics; Energy storage; Structural engineering; Power (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002077614,0.0003916417,0.0002746141,0.0002292991,0.0003046644,0.0004272193,0.0004622503,0.0006909845,0.00220735],"category_scores_gemma":[0.0002851738,0.0002118496,0.0002073591,0.0001464746,0.0001744876,0.0003373671,0.0001159452,0.0002383617,0.0009561786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129036,"about_ca_system_score_gemma":0.0003865064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003375579,"about_ca_topic_score_gemma":0.0006422257,"domain_scores_codex":[0.9998378,0.00002721517,0.000008190762,0.00002611856,0.00008640454,0.00001423108],"domain_scores_gemma":[0.9998823,0.00002476797,0.00002362763,0.00001153309,0.00004762818,0.00001002093],"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":[0.0003541312,0.0001424291,0.00183406,0.001020479,0.00007488856,0.001012678,0.0002281502,0.06361796,0.6855359,0.01516286,0.005039868,0.2259766],"study_design_scores_gemma":[0.0003597522,0.003957307,0.01034289,0.00007816748,0.0001680075,0.004901412,0.0001783903,0.4491775,0.3309005,0.009288551,0.1905523,0.00009521527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09469329,0.0007346617,0.8827969,0.0005354481,0.0001401419,0.0004131062,0.0001385617,0.001401548,0.01914635],"genre_scores_gemma":[0.731123,0.000496821,0.2502646,0.0001424162,0.0001145349,0.000294572,0.0001750766,0.0001943461,0.01719467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00220735,"threshold_uncertainty_score":0.0073843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003378565372998,"score_gpt":0.204994822647748,"score_spread":0.194961036994018,"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."}}