{"id":"W3215128230","doi":"10.1109/ecce47101.2021.9595830","title":"A Generalized Prandtl–Ishlinskii Model for Hysteresis Modeling in Electromagnetic Devices","year":2021,"lang":"en","type":"article","venue":"","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hysteresis; Magnetic hysteresis; Saturation (graph theory); Preisach model of hysteresis; Envelope (radar); Magnetic field; Control theory (sociology); Materials science; Core (optical fiber); Prandtl number; Magnetic Prandtl number; Mechanics; Physics; Computer science; Engineering; Condensed matter physics; Optics; Mathematics; Heat transfer; Magnetization; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005850103,0.0007427566,0.0006667099,0.0007539134,0.0003284261,0.0008472182,0.001773448,0.001162828,0.002083985],"category_scores_gemma":[0.001110667,0.0002903803,0.0008748181,0.0007478184,0.0007914769,0.001951869,0.0005438723,0.001265095,0.0007953691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005166989,"about_ca_system_score_gemma":0.0005055043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001437777,"about_ca_topic_score_gemma":0.0008884087,"domain_scores_codex":[0.9996812,0.00007979674,0.00001859814,0.0000626023,0.0001225681,0.00003516242],"domain_scores_gemma":[0.9997318,0.0001055142,0.00003898422,0.00004311207,0.00006783515,0.00001272465],"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":[0.00009283116,0.000152628,0.0008848501,0.0004061289,0.00005015642,0.0004850595,0.0004677512,0.6031563,0.0381009,0.3005852,0.003057797,0.05256046],"study_design_scores_gemma":[0.000003688261,0.00002743196,0.0001141217,0.00001035295,0.000004720324,0.00005601369,0.00001362269,0.9775943,0.001071758,0.01924339,0.001850457,0.00001018209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009260258,0.001153928,0.9805309,0.0001633894,0.00005289122,0.00005036079,0.00009318568,0.000290765,0.008404418],"genre_scores_gemma":[0.8402824,0.003325202,0.1342405,0.0002932652,0.0002003704,0.0003715552,0.0003710492,0.0002143457,0.02070127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002083985,"threshold_uncertainty_score":0.006971657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05435389047278977,"score_gpt":0.2690830085834571,"score_spread":0.2147291181106674,"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."}}