{"id":"W2162572743","doi":"10.1109/tec.2008.921555","title":"Dynamic Performance of Brushless DC Motors With Unbalanced Hall Sensors","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hall effect sensor; DC motor; Harmonics; Torque ripple; Transient (computer programming); Brushed DC electric motor; Ripple; Computer science; Torque; Inverter; Control theory (sociology); Hall effect; Electrical engineering; Electronic engineering; Control engineering; Engineering; Electric motor; AC motor; Physics; Induction motor; Voltage; Direct torque control; Magnet; Control (management); 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":[0.00003497907,0.0002410921,0.0002897152,0.0002950992,0.0001194498,0.000004539636,0.0001454095,0.0001228163,0.00006040672],"category_scores_gemma":[9.150281e-7,0.0002279001,0.0000948974,0.000381717,0.0000932598,0.0001592289,5.341768e-7,0.00019474,0.00001663299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001525543,"about_ca_system_score_gemma":0.00003496438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001203074,"about_ca_topic_score_gemma":0.00003767135,"domain_scores_codex":[0.9989336,0.00002585932,0.0002349329,0.0002239971,0.0002888441,0.0002927705],"domain_scores_gemma":[0.9994026,0.00007356079,0.0000557637,0.0002998148,0.00007154397,0.00009667175],"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":[0.000288987,0.00007046948,0.0001320094,0.0000541198,0.0001247787,0.00002296509,0.0001350727,0.957603,0.03720631,0.000009822866,0.00004161539,0.004310786],"study_design_scores_gemma":[0.001510894,0.0003465576,0.001108159,0.00006587131,0.00004511204,0.00005224106,0.00002899281,0.6145173,0.3817149,0.000001058863,0.0003048992,0.0003040082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902896,0.00004541065,0.09571407,0.00001917052,0.0003919111,0.00009303151,0.000007893231,0.0002515989,0.0005808806],"genre_scores_gemma":[0.9981651,0.0006802412,0.0003961614,0.00002766747,0.00001311805,0.00001492393,0.000003534411,0.00005358682,0.0006457173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3445086,"threshold_uncertainty_score":0.9293498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005103291542831988,"score_gpt":0.1659842653704329,"score_spread":0.1608809738276009,"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."}}