{"id":"W2154197611","doi":"10.1109/iemdc.2011.5994736","title":"Influence of design parameters on wide speed range concentrated winding PM machines","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Finite element method; Magnet; Copper loss; Range (aeronautics); Harmonic analysis; Power (physics); Core (optical fiber); Electromagnetic coil; Mechanical engineering; Computer science; Magnetic core; Control theory (sociology); Electrical engineering; Engineering; Electronic engineering; Materials science; Structural engineering; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001224173,0.0001268598,0.0001937098,0.0001162836,0.00001943927,0.000008289595,0.0001254664,0.00004799549,0.0001281705],"category_scores_gemma":[0.00004490978,0.0001064831,0.00005683759,0.0003494875,0.00002557215,0.0000806181,0.000004474667,0.00008339268,0.00002920094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002539441,"about_ca_system_score_gemma":0.000007698553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001359058,"about_ca_topic_score_gemma":0.000002902926,"domain_scores_codex":[0.9993324,0.00003713621,0.0002017389,0.0001156684,0.0001140871,0.0001989314],"domain_scores_gemma":[0.9996061,0.000128549,0.00003386318,0.0001438502,0.00002698476,0.0000605989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000189776,0.0001310462,0.06591959,0.0001272795,0.000762913,0.00006293674,0.001918253,0.5898947,0.3240027,0.001117262,0.001450673,0.01442286],"study_design_scores_gemma":[0.0007541241,0.0002261868,0.02929082,0.0000846949,0.000121031,0.000003214552,0.00002083841,0.4836796,0.4849694,0.0003803905,0.00002848265,0.0004412254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673439,0.00006150585,0.0283221,0.000004243247,0.00002426495,0.0001236529,0.000001106522,0.0001690651,0.003950125],"genre_scores_gemma":[0.9930981,0.00003596953,0.006640878,0.00006048123,0.00000683825,0.000002556567,0.000001086607,0.00001632195,0.000137808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1609667,"threshold_uncertainty_score":0.4342256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968391099508117,"score_gpt":0.2117905571774417,"score_spread":0.1821066461823606,"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."}}