{"id":"W4243717236","doi":"10.1109/ias.2005.1518653","title":"A novel magnetic suspension force compensation in a bearingless induction motor with a squirrel cage rotor","year":2005,"lang":"en","type":"article","venue":"Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005.","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Memorial University of Newfoundland","keywords":"Squirrel-cage rotor; Control theory (sociology); Rotor (electric); Induction motor; Suspension (topology); Compensation (psychology); Flux linkage; Cage; Wound rotor motor; Magnetic bearing; Electromagnetic suspension; Computer science; Engineering; Direct torque control; Control (management); Magnet; Mechanical engineering; Electrical engineering; Mathematics; Structural engineering; Voltage","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000494206,0.0004301891,0.0004679174,0.0002996216,0.0001790843,0.0001098728,0.0006496889,0.0005482028,0.0003750229],"category_scores_gemma":[0.00006608538,0.0003670228,0.00009321035,0.0005752123,0.0002426623,0.0003535931,0.0001232466,0.001217634,0.00002887127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002286223,"about_ca_system_score_gemma":0.0002963645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005342283,"about_ca_topic_score_gemma":0.002797873,"domain_scores_codex":[0.9974341,0.0000881149,0.0008765603,0.0004976732,0.0004656006,0.0006379893],"domain_scores_gemma":[0.99813,0.000130869,0.0003985182,0.0006882615,0.0004525257,0.0001998441],"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":[0.0007316296,0.00203048,0.02429735,0.000997478,0.0002698138,0.000005555347,0.00790947,0.2594754,0.119007,0.03173734,0.00345008,0.5500885],"study_design_scores_gemma":[0.003248628,0.000497666,0.06697838,0.001430482,0.0001965958,0.00007957464,0.00498248,0.8649822,0.004553684,0.0009347632,0.0504575,0.001658071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519022,0.0001056657,0.03334135,0.001721034,0.0002664775,0.002713591,0.0001711934,0.0002368953,0.009541637],"genre_scores_gemma":[0.9787198,0.00006712348,0.01771176,0.00006440985,0.000205196,0.0006140497,0.00003182959,0.0000580225,0.002527774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6055068,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781339174889067,"score_gpt":0.2254143585808983,"score_spread":0.2076009668320076,"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."}}