{"id":"W2793070122","doi":"10.1109/tte.2018.2817120","title":"Design Optimization of a Spoke-Type Variable Flux Motor Using AlNiCo for Electrified Transportation","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Alnico; Variable (mathematics); Computer science; Engineering; Mechanical engineering; Mathematics; Magnet; Mathematical analysis","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":[0.0004332388,0.0005223199,0.0005360208,0.0004292934,0.0003610143,0.0006659885,0.0004665316,0.000609888,0.001777593],"category_scores_gemma":[0.0005628891,0.0003453576,0.0003887018,0.0002818647,0.0003654486,0.000439984,0.0002854787,0.0003215723,0.0002704278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252734,"about_ca_system_score_gemma":0.0005947256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008271848,"about_ca_topic_score_gemma":0.001717591,"domain_scores_codex":[0.9998362,0.00004042732,0.000007409697,0.00003245209,0.00006640612,0.00001706052],"domain_scores_gemma":[0.999864,0.0000602732,0.00002774142,0.000006509325,0.00003582216,0.000005588318],"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":[0.0001725503,0.00008043824,0.0008622364,0.0005241469,0.00004698431,0.0001338999,0.00009946608,0.8823065,0.04035242,0.01036905,0.0007760239,0.06427634],"study_design_scores_gemma":[0.00001906457,0.0001416057,0.0002864999,0.00001681098,0.00001630647,0.0000376678,0.00002725358,0.9905216,0.004264486,0.0009286678,0.00373161,0.000008408847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0323611,0.0002779408,0.9595398,0.0000909528,0.00003079816,0.00008236436,0.0000274762,0.0001076802,0.007481966],"genre_scores_gemma":[0.7107192,0.0005044607,0.2817505,0.00004516503,0.00002403125,0.0003129655,0.00008162309,0.00007052662,0.006491402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001777593,"threshold_uncertainty_score":0.005946636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414826955208436,"score_gpt":0.2375326359594131,"score_spread":0.2133843664073288,"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."}}