{"id":"W4237008385","doi":"10.1109/60.986441","title":"Performance of interior permanent magnet motor drive over wide speed range","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Control theory (sociology); Inverter; Digital signal processor; Torque; Synchronous motor; Magnet; Power (physics); Range (aeronautics); Digital signal processing; Permanent magnet synchronous generator; Direct torque control; Voltage; Limit (mathematics); Computer science; Motor drive; Controller (irrigation); Automotive engineering; Engineering; Electrical engineering; Physics; Induction motor; Mathematics; Mechanical engineering; Control (management); Aerospace engineering","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":[0.00003303203,0.0001548401,0.0001902843,0.0002470648,0.00005718847,0.000008149108,0.0001119372,0.0000809433,0.002234226],"category_scores_gemma":[7.111841e-7,0.0001547255,0.0001525906,0.0002475288,0.00003094032,0.0001295078,6.696214e-7,0.0001203352,0.00006230797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009074622,"about_ca_system_score_gemma":0.000003952261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000634641,"about_ca_topic_score_gemma":0.000007926476,"domain_scores_codex":[0.9992643,0.0000215354,0.0001980771,0.0001515447,0.0001843993,0.0001801391],"domain_scores_gemma":[0.9996362,0.00003933864,0.00003186041,0.0001904833,0.00002976788,0.00007237403],"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":[0.0003152725,0.0003109363,0.0005304967,0.0003554576,0.0006231689,0.00003766991,0.0009837688,0.1081316,0.7062621,0.00002176983,0.006646025,0.1757818],"study_design_scores_gemma":[0.000604817,0.0002362227,0.0002400795,0.00004382648,0.00008268997,0.000003574038,0.00001257129,0.8129237,0.1838627,8.097088e-7,0.001806524,0.0001825255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452808,0.0001384643,0.05211631,0.00003129024,0.0004270265,0.00007094016,0.00001372772,0.0001534969,0.001767962],"genre_scores_gemma":[0.9950311,0.001286065,0.0001241292,0.0000644961,0.00002636442,0.000006419632,0.000002378696,0.00002359022,0.003435498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7047921,"threshold_uncertainty_score":0.9986778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007476404896434571,"score_gpt":0.1741492442248332,"score_spread":0.1666728393283987,"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."}}