{"id":"W2351133820","doi":"","title":"Control of Permanent Magnet Synchronous Motor Chaotic Phenomena Based on Passive Network Theory","year":2004,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Control theory (sociology); Chaotic; Permanent magnet synchronous motor; Magnet; Synchronous motor; Permanent magnet synchronous generator; Controller (irrigation); Computer science; State (computer science); Control (management); Control engineering; Engineering; Electrical engineering; Artificial intelligence; Algorithm","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":[0.000143199,0.0003213014,0.0002927062,0.0001497601,0.0002289044,0.0003401656,0.0003576816,0.0002098749,0.0008783069],"category_scores_gemma":[0.0003626046,0.0001172411,0.0001858566,0.0001343083,0.0003070904,0.0003955094,0.0002736178,0.000239186,0.0000804338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779917,"about_ca_system_score_gemma":0.0002240779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001302684,"about_ca_topic_score_gemma":0.0009813855,"domain_scores_codex":[0.9999324,0.00001344823,0.000003730287,0.00001819469,0.00002452412,0.000007661816],"domain_scores_gemma":[0.9999208,0.00002898819,0.00001744133,0.000004560938,0.00002266106,0.000005540609],"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":[0.0002929299,0.00005643955,0.0005258285,0.0003499741,0.00006243245,0.0002111633,0.000192981,0.7648254,0.06644595,0.07961515,0.001775238,0.08564655],"study_design_scores_gemma":[0.000024296,0.00005607923,0.0001819568,0.000005487429,0.00001062382,0.00001936764,0.000005011962,0.9911585,0.002578033,0.005125641,0.0008286163,0.000006359001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06617448,0.0004474879,0.9217631,0.0002320731,0.0001175558,0.00005412226,0.00004711857,0.0003220889,0.01084196],"genre_scores_gemma":[0.9861678,0.0002513866,0.01077816,0.00002294049,0.00002924922,0.00007781181,0.00002263736,0.00001055228,0.00263946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001302684,"threshold_uncertainty_score":0.002938211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005539296570949376,"score_gpt":0.2006210869316645,"score_spread":0.1950817903607151,"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."}}