{"id":"W2011959031","doi":"10.1109/tmag.2014.2350508","title":"Improved Analytical Model for Predicting the Magnetic Field Distribution in High-Speed Slotless Permanent-Magnet Machines","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Magnet; Stator; Eddy current; Electromagnetic coil; Magnetic field; Rotor (electric); Finite element method; Magnetic reluctance; Electrical conductor; Magnetic core; Mechanics; Mechanical engineering; Torque; Materials science; Physics; Nuclear magnetic resonance; Engineering; Composite material","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":[0.0002780975,0.0005530635,0.0007210994,0.0004768503,0.0003209549,0.0007020577,0.001108111,0.001292617,0.001793957],"category_scores_gemma":[0.0008999715,0.0003976537,0.000592213,0.0005191566,0.0003965682,0.000884587,0.0002846121,0.0004577244,0.0008222218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005628309,"about_ca_system_score_gemma":0.0005673257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002386085,"about_ca_topic_score_gemma":0.00216242,"domain_scores_codex":[0.9998401,0.00003802852,0.000006604805,0.0000255602,0.00007233528,0.00001734604],"domain_scores_gemma":[0.9997682,0.00008713721,0.00003282416,0.00002340434,0.00007771194,0.0000108177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002078551,0.00001422314,0.0002236143,0.00004569698,0.000007011669,0.00009549726,0.00003260445,0.984542,0.004875193,0.002802311,0.0003942425,0.006946858],"study_design_scores_gemma":[0.00000186323,0.000006366267,0.0000558276,0.000001992451,0.000001318589,0.00001226294,0.000003125834,0.9988986,0.0002605893,0.0004254208,0.0003308713,0.000001742688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02711402,0.0003426787,0.9643057,0.0001274486,0.00006923662,0.00004417212,0.0001063082,0.0006840181,0.007206435],"genre_scores_gemma":[0.8927562,0.000638493,0.09592496,0.00008460203,0.00007133124,0.0001422604,0.0002080831,0.0001814177,0.00999266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002386085,"threshold_uncertainty_score":0.006001353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685429328328576,"score_gpt":0.2301757504128138,"score_spread":0.2133214571295281,"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."}}