{"id":"W1541872568","doi":"","title":"Study and detection of demagnetization in line start permanent magnet synchronous machines using artificial neural network","year":2012,"lang":"en","type":"article","venue":"International Conference on Electrical Machines and Systems","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Magnet; Demagnetizing field; Artificial neural network; Line (geometry); Computer science; Control theory (sociology); Engineering; Mechanical engineering; Artificial intelligence; Physics; Magnetic field; Mathematics; Geometry","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":[0.0002927071,0.0002407172,0.0002523919,0.0002575945,0.0001108368,0.000219383,0.0002285557,0.0004383395,0.00026464],"category_scores_gemma":[0.0009179403,0.000124099,0.0001296839,0.000152153,0.0001984766,0.0004949105,0.00008974778,0.000233898,0.00004461584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831286,"about_ca_system_score_gemma":0.0001217719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007149306,"about_ca_topic_score_gemma":0.0008141424,"domain_scores_codex":[0.9998778,0.00002986517,0.000007780059,0.00002099278,0.00005411887,0.000009398595],"domain_scores_gemma":[0.9995251,0.0002999071,0.00006351779,0.00002031576,0.00008087747,0.00001033624],"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":[0.0005930407,0.0002135455,0.01268854,0.0004775135,0.00009440252,0.0007710014,0.0002609008,0.5818119,0.1903715,0.003191652,0.0004026276,0.2091233],"study_design_scores_gemma":[0.000003768843,0.00007857621,0.002498624,0.00000487644,0.000007189283,0.00005213306,0.00001490543,0.9841006,0.01275066,0.000310305,0.0001737159,0.000004764172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5895634,0.0007774272,0.406432,0.0001523124,0.00003606524,0.00004021216,0.00002333192,0.0002448391,0.002730286],"genre_scores_gemma":[0.9807196,0.0001263084,0.01866209,0.000009669205,0.000007295664,0.000008869137,0.00001164437,0.000004581841,0.0004499989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007149306,"threshold_uncertainty_score":0.001547992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03369052878534537,"score_gpt":0.2708441036484364,"score_spread":0.237153574863091,"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."}}