{"id":"W2064203505","doi":"10.1109/tmag.2013.2284355","title":"Internally Consistent Nonlinear Behavioral Model of a PM Synchronous Machine for Hardware-in-the-Loop Simulation","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Opal-Rt Technologies (Canada)","funders":"","keywords":"Hardware-in-the-loop simulation; Computer science; Behavioral modeling; Loop (graph theory); Nonlinear system; Virtual machine; Energy (signal processing); Synchronous motor; Computer hardware; Simulation; Artificial intelligence; Operating system; Electrical engineering; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001617142,0.0001436671,0.0002084806,0.0001163261,0.00004119172,0.00002983857,0.0001282773,0.00007925639,0.00002755894],"category_scores_gemma":[0.000004051009,0.0001293911,0.000130793,0.00008715295,0.00002590288,0.00005721289,4.474771e-7,0.0001326827,0.00000857497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004028951,"about_ca_system_score_gemma":0.00001392436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003615813,"about_ca_topic_score_gemma":0.0001403454,"domain_scores_codex":[0.9991084,0.00003850146,0.0003962569,0.0001268176,0.0001733035,0.0001567711],"domain_scores_gemma":[0.9994333,0.0001630621,0.00004829808,0.000238774,0.00007622469,0.00004028272],"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":[0.00004531349,0.0001173528,0.00001089203,0.00004889253,0.00001340926,3.382771e-7,0.0002258953,0.9744206,0.002088751,0.00001936789,0.00001004117,0.02299912],"study_design_scores_gemma":[0.001144045,0.0002935136,0.00004027025,0.00003108085,0.00006786764,0.000001906741,0.00002763304,0.996882,0.001061963,0.00003586704,0.0002907978,0.0001231172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07299314,0.00003266472,0.9255496,0.00004043187,0.0002495253,0.0004775139,0.00007920265,0.00006796977,0.0005099285],"genre_scores_gemma":[0.9971173,0.000007697949,0.00242036,0.00003887479,0.00003568957,0.00005579483,0.00000822938,0.00002939862,0.0002866008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9241242,"threshold_uncertainty_score":0.5276416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217037714288658,"score_gpt":0.2599601430719576,"score_spread":0.2382563716430918,"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."}}