{"id":"W2990261282","doi":"10.18280/ejee.210505","title":"Fractional Order Direct Torque Control of Permanent Magnet Synchronous Machine","year":2019,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Torque; Magnet; Direct torque control; Control theory (sociology); Order (exchange); Permanent magnet synchronous motor; Control (management); Computer science; Physics; Mechanical engineering; Engineering; Business; Artificial intelligence; Thermodynamics; Voltage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004960828,0.0002641908,0.0005584651,0.0003967304,0.00001778407,0.0000238085,0.0003003678,0.00004744995,0.0002338591],"category_scores_gemma":[0.0002318873,0.0002451645,0.0002024085,0.0004426189,0.00001254465,0.0001626075,0.00001405952,0.0006386183,0.00005618586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001706973,"about_ca_system_score_gemma":0.00004060505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002579524,"about_ca_topic_score_gemma":1.664505e-7,"domain_scores_codex":[0.9981814,0.00009805514,0.000765293,0.0001435814,0.0004124725,0.0003991816],"domain_scores_gemma":[0.9989181,0.0003281382,0.0001921162,0.0001933136,0.0001868926,0.0001814063],"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":[0.0001122115,0.00006780439,0.0006632285,0.00007646835,0.0003566083,0.0001855218,0.00004143927,0.8879951,0.1026608,0.0001835542,0.0004828103,0.007174458],"study_design_scores_gemma":[0.004041883,0.001146465,0.01434691,0.0001291897,0.0001378513,0.0005488704,0.00000505918,0.9595934,0.004597919,0.0000050663,0.01490798,0.0005394477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6982442,0.01520071,0.2637777,0.0001693162,0.002389501,0.0005672849,0.00002064937,0.0003803641,0.01925033],"genre_scores_gemma":[0.9980191,0.0001287917,0.001246055,0.00003684263,0.0003900547,0.000001095761,0.00000190885,0.00009780731,0.00007834429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2997749,"threshold_uncertainty_score":0.9997517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002437865211579592,"score_gpt":0.1622960630652192,"score_spread":0.1598581978536396,"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."}}