{"id":"W2006686507","doi":"10.1109/itec.2014.6861782","title":"Flux-weakening loop design for EV drive with permanent magnet synchronous motor","year":2014,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Control theory (sociology); Limit (mathematics); Loop (graph theory); Flux (metallurgy); Magnetic flux; Physics; Synchronous motor; Power (physics); Magnet; Traction motor; Current loop; Traction (geology); Permanent magnet synchronous generator; Voltage; Computer science; Engineering; Electrical engineering; Mathematics; Magnetic field; Mechanical engineering; Mathematical analysis; Materials science","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":[0.0001752622,0.0001888593,0.0002301377,0.0001088372,0.00006998123,0.00004655703,0.0001298519,0.00006155881,0.0002837123],"category_scores_gemma":[0.00001663144,0.0001500491,0.00007832659,0.0001602461,0.0000161859,0.00007648339,0.000003957851,0.00008500795,0.00006054726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006293195,"about_ca_system_score_gemma":0.00001663143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001551589,"about_ca_topic_score_gemma":0.000007782231,"domain_scores_codex":[0.9991063,0.000025314,0.000172222,0.0002079649,0.0001410595,0.0003471571],"domain_scores_gemma":[0.9994758,0.0001375066,0.00002522026,0.00020833,0.00004671067,0.0001064047],"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":[0.0002257894,0.0001904734,0.0009486428,0.0005951368,0.001264596,0.00004121547,0.0009276994,0.2572295,0.361497,0.004201184,0.05793319,0.3149456],"study_design_scores_gemma":[0.0005773287,0.0005083726,0.0001378113,0.00002108139,0.0001283431,0.00001138731,0.00001887501,0.9788603,0.01621047,0.00008689385,0.003115326,0.0003238087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02023477,0.000153345,0.9735949,0.0000289081,0.00004576159,0.0003529272,0.000002179583,0.0003577756,0.005229411],"genre_scores_gemma":[0.8955644,0.00001864197,0.09650373,0.00009218515,0.0001890538,0.0001478551,0.00001892894,0.0000678699,0.007397305],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8770912,"threshold_uncertainty_score":0.6118826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007814222394588228,"score_gpt":0.1874888253255869,"score_spread":0.1796746029309987,"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."}}