{"id":"W2245186967","doi":"10.1109/tie.2015.2477487","title":"Detailed Magnetic Equivalent Circuit Based Real-Time Nonlinear Power Transformer Model on FPGA for Electromagnetic Transient Studies","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transformer; Electronic engineering; Eddy current; Nonlinear system; Field-programmable gate array; Finite element method; Emulation; Engineering; Electrical engineering; Voltage; Physics; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004818855,0.0005499398,0.000692866,0.0003411379,0.0001803773,0.00007679214,0.0002439246,0.000422736,0.0001154049],"category_scores_gemma":[0.00001798344,0.0005406051,0.0004040799,0.0004258958,0.00005766282,0.0001638461,3.601101e-7,0.0006648567,0.00008721292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008848829,"about_ca_system_score_gemma":0.0005448203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007906642,"about_ca_topic_score_gemma":0.0000454433,"domain_scores_codex":[0.997007,0.0001138288,0.0007909514,0.0004940053,0.0006112123,0.0009830294],"domain_scores_gemma":[0.998667,0.0002662839,0.0000748709,0.000441503,0.0002258436,0.0003245046],"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":[0.0009861629,0.0002541509,2.189075e-7,0.00003333884,0.0002389846,0.000002292123,0.0002871181,0.9621943,0.02465591,0.00007443596,0.0009219312,0.01035116],"study_design_scores_gemma":[0.01074763,0.005041817,0.00000102848,0.00007910075,0.0003474861,0.000006574403,0.00008824777,0.9502922,0.02978828,0.0001859499,0.002770579,0.000651133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2473439,0.001276336,0.7324572,0.0007521823,0.002360779,0.006141561,0.000369595,0.001611351,0.007687066],"genre_scores_gemma":[0.9973361,0.0001922994,0.000266148,0.00008827373,0.0001826922,0.0005705722,0.00002430674,0.000151714,0.00118784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7499922,"threshold_uncertainty_score":0.9997045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06100584980519829,"score_gpt":0.2696425948035581,"score_spread":0.2086367449983598,"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."}}