{"id":"W2588026495","doi":"10.1109/ecce.2016.7855527","title":"Torque and core loss characterization of a variable-flux permanent-magnet machine","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Torque; Direct torque control; Magnet; Core (optical fiber); Control theory (sociology); Torque density; Flux (metallurgy); Magnetic flux; Materials science; Computer science; Engineering; Mechanical engineering; Physics; Induction motor; Electrical engineering; Thermodynamics; Composite material; Voltage; Magnetic field","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005064075,0.00006843515,0.0001110824,0.00005628127,0.00001136111,0.000007426677,0.00004099607,0.00003551533,0.0009133411],"category_scores_gemma":[0.000006560414,0.00004542648,0.00001736622,0.0001159592,0.00001309975,0.00009124968,0.000007608749,0.00002348374,0.000009421634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001223068,"about_ca_system_score_gemma":0.000004378629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001816045,"about_ca_topic_score_gemma":0.000002500109,"domain_scores_codex":[0.999643,0.000006840679,0.0001189158,0.00007613775,0.00006273037,0.00009241873],"domain_scores_gemma":[0.9998125,0.00002070921,0.00001743023,0.0000922038,0.00002044442,0.00003667826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003368702,0.000007982859,0.004022125,0.0000331664,0.00002889955,0.000001333524,0.00002351406,0.000005225042,0.9759052,0.001741491,0.0001245111,0.01810319],"study_design_scores_gemma":[0.00406765,0.0004858764,0.1697786,0.0003201659,0.0004028717,0.00009111017,0.00001707553,0.3991441,0.4065527,0.001685069,0.01593065,0.001524034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040802,0.00008484115,0.09216241,0.00005787315,0.00003834242,0.00007020025,0.00002282893,0.0001049997,0.003378363],"genre_scores_gemma":[0.9957008,0.0001482465,0.0005685685,0.00002533819,0.00003084953,0.000003865517,0.00002305443,0.00001084231,0.003488465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5693524,"threshold_uncertainty_score":0.9999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006048018760951228,"score_gpt":0.1806504346546393,"score_spread":0.1746024158936881,"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."}}