{"id":"W2153877159","doi":"10.1109/iecon.1995.483837","title":"A Park-like transformation for the study and the control of a nonsinusoidal brushless DC motor","year":2002,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); DC motor; Transformation (genetics); Torque; Torque ripple; Nonlinear system; Computer science; Ripple; Reference frame; Frame (networking); Control (management); Control engineering; Direct torque control; Engineering; Electrical engineering; Physics; Voltage; Induction motor; Telecommunications; Artificial intelligence","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":[0.0003040412,0.0001169134,0.0002263898,0.00004554823,0.00007649012,0.00002943272,0.0001278244,0.00003469926,0.00002929452],"category_scores_gemma":[0.00003984763,0.00006082465,0.00007714337,0.00009613336,0.00005418195,0.00007831061,0.000003434052,0.0000812212,0.000002270818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001393366,"about_ca_system_score_gemma":0.000003177403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004949816,"about_ca_topic_score_gemma":0.00008390354,"domain_scores_codex":[0.9993067,0.00004236452,0.0002590943,0.00008229136,0.0001396748,0.0001698709],"domain_scores_gemma":[0.9987723,0.000940705,0.00003323324,0.000184365,0.00004305668,0.00002629875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005589826,0.001361449,0.003759745,0.0006510013,0.006947974,0.00001056122,0.07677225,0.06757172,0.02411302,0.02725141,0.009346467,0.7766246],"study_design_scores_gemma":[0.009391395,0.0001363523,0.002071204,0.000003948872,0.0001514811,0.000004197241,0.0006435072,0.9860824,0.000222993,0.00003723058,0.001162049,0.0000932265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7959997,0.0028445,0.1895133,0.001691295,0.0002962327,0.007039562,0.00002515199,0.0001980248,0.002392227],"genre_scores_gemma":[0.9993467,0.0000486961,0.00006100207,0.0001062595,0.00004789665,0.0002495307,2.94488e-7,0.00001651174,0.0001231072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9185107,"threshold_uncertainty_score":0.2480357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009772071753111502,"score_gpt":0.1917425709152643,"score_spread":0.1819704991621528,"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."}}