{"id":"W2992959814","doi":"10.1109/icems.2019.8922075","title":"Comparative Performance Analysis of Copper and Aluminum Wound Fractional–Slot PMSMs for High–Speed Traction Application","year":2019,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Traction (geology); Torque density; Torque; Copper loss; Electromagnetic coil; Traction motor; Automotive engineering; Magnet; Aluminium; Driving cycle; Copper; Computer science; Materials science; Mechanical engineering; Engineering; Electrical engineering; Electric vehicle; Composite material; Metallurgy; Power (physics); 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":[0.0004641529,0.0003031872,0.00034379,0.0007213891,0.0002241458,0.0003545421,0.0003232173,0.0003294497,0.001237395],"category_scores_gemma":[0.0008025178,0.00009228762,0.0002177146,0.0004738889,0.0001678431,0.0004063743,0.0001515908,0.0001490238,0.0003529715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002687105,"about_ca_system_score_gemma":0.0001933129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005510316,"about_ca_topic_score_gemma":0.0005919343,"domain_scores_codex":[0.9996939,0.00006341642,0.00002345685,0.00003388055,0.0001557534,0.00002957294],"domain_scores_gemma":[0.9995286,0.0001355316,0.00007517945,0.00004295246,0.0001985967,0.00001912037],"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":[0.002615634,0.0003358614,0.01176354,0.002172863,0.0001612369,0.0006540472,0.0006526496,0.1446796,0.4465972,0.003062853,0.003272551,0.3840321],"study_design_scores_gemma":[0.0001485383,0.009774439,0.0846651,0.0001245406,0.0002079154,0.001199452,0.0009538949,0.5328295,0.3461789,0.002178555,0.02165607,0.00008306181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360888,0.00158262,0.04938138,0.0001224545,0.00004701413,0.00007553139,0.0001474703,0.0003537446,0.01220094],"genre_scores_gemma":[0.9959171,0.0002124136,0.002653805,0.000004539263,0.000006167431,0.00001199002,0.00005928997,0.000009755664,0.001124924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001237395,"threshold_uncertainty_score":0.004139483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210308553260519,"score_gpt":0.2386926736430415,"score_spread":0.2265895881104363,"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."}}