{"id":"W2048003098","doi":"10.1109/tia.2013.2257973","title":"Intelligent Speed Control of Interior Permanent Magnet Motor Drives Using a Single Untrained Artificial Neuron","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Artificial neural network; Artificial neuron; Control engineering; Computer science; Controller (irrigation); Set (abstract data type); Engineering; Control theory (sociology); Artificial intelligence; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000480229,0.0002532395,0.0002911243,0.0002856577,0.0001110013,0.00004955579,0.0002201703,0.0002733741,0.000608958],"category_scores_gemma":[0.000005200221,0.0002787049,0.0001388654,0.0003942636,0.00009991715,0.0001414842,0.000001048538,0.0005974278,0.00009516226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001706578,"about_ca_system_score_gemma":0.00002901853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000742652,"about_ca_topic_score_gemma":0.000009523557,"domain_scores_codex":[0.9986235,0.00004103036,0.0005455372,0.000265822,0.000194318,0.0003297947],"domain_scores_gemma":[0.999096,0.0001360389,0.00009356825,0.0004081535,0.0001092485,0.0001570382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002342981,0.0001667273,0.0000116183,0.00002654519,0.00008796863,8.55239e-7,0.0001060505,0.1221241,0.8540981,0.00007301081,0.0000505375,0.02323104],"study_design_scores_gemma":[0.0007842416,0.0002569667,0.0004672481,0.00005630311,0.0002125139,0.00002487354,0.000330307,0.4957221,0.5006011,0.0001516315,0.0008970789,0.0004956273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4345563,0.00002793803,0.5633805,0.0001590953,0.0002049659,0.001155551,0.00007339969,0.0001999816,0.0002422297],"genre_scores_gemma":[0.998566,0.000008083978,0.0006589293,0.00006495966,0.000137936,0.0003963964,0.000004082339,0.00005666426,0.0001069685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5640097,"threshold_uncertainty_score":0.9999665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232825613526446,"score_gpt":0.2322091558697639,"score_spread":0.2098808997344994,"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."}}