{"id":"W2095675884","doi":"10.1109/apt.1993.673910","title":"An Efficient Variable Speed Drive Scheme For Squirrel Cage Induction Motors Using Stator Neutral Switching","year":2005,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Squirrel-cage rotor; Stator; Induction motor; Variable (mathematics); Scheme (mathematics); Control theory (sociology); Computer science; Electrical engineering; Engineering; Mathematics; Voltage; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000139946,0.0002517425,0.0002325057,0.0002005526,0.0002339325,0.0002314786,0.0005172088,0.000169248,0.002121926],"category_scores_gemma":[0.0001493632,0.0001103354,0.0001150578,0.0001768502,0.0001534658,0.0002753715,0.0001525229,0.0001805735,0.0002924303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001408803,"about_ca_system_score_gemma":0.0001237686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003331346,"about_ca_topic_score_gemma":0.001056028,"domain_scores_codex":[0.9999284,0.0000138744,0.000004817319,0.00001176269,0.00003413885,0.000007163232],"domain_scores_gemma":[0.9999263,0.00001586812,0.00001033639,0.0000156907,0.00002586121,0.000005909083],"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":[0.0006696035,0.0001858288,0.0006731051,0.0003005388,0.00004433679,0.0001969995,0.000223056,0.01973222,0.4159942,0.02492506,0.003497766,0.5335573],"study_design_scores_gemma":[0.000410824,0.002234993,0.005606785,0.00005443073,0.0001129645,0.0008903616,0.00005915476,0.7574248,0.1911839,0.01159541,0.03035337,0.00007304505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1297946,0.0003810553,0.8601321,0.0001033997,0.000154388,0.00007567364,0.00006450144,0.001190174,0.008104024],"genre_scores_gemma":[0.9234775,0.0001067823,0.07269559,0.00003764404,0.00003724842,0.00003753814,0.0000732797,0.00003469447,0.003499727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002121926,"threshold_uncertainty_score":0.007098556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380110947793359,"score_gpt":0.2454098070556084,"score_spread":0.2316086975776748,"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."}}