{"id":"W2143905942","doi":"10.1109/tmag.2009.2012478","title":"Analytical Computation of the Full Load Magnetic Losses in the Soft Magnetic Composite Stator of High-Speed Slotless Permanent Magnet Machines","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Queen's University","funders":"","keywords":"Stator; Eddy current; Magnet; Rotor (electric); Electromagnetic coil; Magnetic field; Mechanics; Materials science; Magnetic reluctance; Harmonics; Magnetic core; Nuclear magnetic resonance; Physics; Mechanical engineering; Electrical engineering; Voltage; Engineering","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":[0.0001769574,0.00024865,0.0003503122,0.0002162263,0.00006865222,0.00003321692,0.0003628495,0.00009741687,0.0001374218],"category_scores_gemma":[0.000005691626,0.0001792449,0.0001792114,0.0009345544,0.0001342558,0.00004843459,0.00000155906,0.0003361106,0.000009133076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006174847,"about_ca_system_score_gemma":0.00003675112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001336242,"about_ca_topic_score_gemma":0.0001270444,"domain_scores_codex":[0.9982553,0.0001528952,0.0005673026,0.0002010771,0.0005481463,0.0002753228],"domain_scores_gemma":[0.9992078,0.0001839381,0.00007482625,0.0003708051,0.0001057591,0.00005690484],"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":[0.0001633313,0.000894107,0.0002834002,0.0002321353,0.00006139627,0.00001573491,0.001305413,0.7492605,0.05160998,0.0001670687,0.0003311079,0.1956758],"study_design_scores_gemma":[0.001448919,0.001868122,0.03516046,0.0001234891,0.0004992242,0.00003150067,0.00009408233,0.9495097,0.010207,0.0005994953,0.00006211256,0.000395921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.903202,0.0009992579,0.09410307,0.0004806209,0.0001774028,0.000456111,0.00006610328,0.00007122343,0.0004441919],"genre_scores_gemma":[0.9986579,0.0001800567,0.0008645575,0.00008955951,0.00002423294,0.000006559163,0.000003841476,0.00002222957,0.0001510375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2002492,"threshold_uncertainty_score":0.7309396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008191740956299086,"score_gpt":0.2174550293129513,"score_spread":0.2092632883566522,"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."}}