{"id":"W3167352265","doi":"10.1109/oajpe.2021.3086042","title":"Time-Stepped Finite-Element Modeling of Three-Phase Transformer for Electromagnetic Transient Emulation on FPGA","year":2021,"lang":"en","type":"article","venue":"IEEE Open Access Journal of Power and Energy","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field-programmable gate array; Finite element method; Solver; Transformer; Computer science; Emulation; Computational science; Electronic engineering; Voltage; Electrical engineering; Engineering; Computer hardware","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":[0.0001458994,0.0003904456,0.0002239435,0.0001778345,0.0001691444,0.0002577279,0.0005888644,0.0003193777,0.005788674],"category_scores_gemma":[0.0002932668,0.0001633273,0.000252402,0.0001529991,0.0001425245,0.0002661272,0.0001836772,0.0003232965,0.000823627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002160854,"about_ca_system_score_gemma":0.000402398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099407,"about_ca_topic_score_gemma":0.002600269,"domain_scores_codex":[0.9999225,0.00001886238,0.000004413846,0.000009323195,0.00003716429,0.000007666389],"domain_scores_gemma":[0.9998817,0.00004596309,0.00001059846,0.00002124802,0.0000346604,0.000005717932],"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":[0.0001232776,0.0000583955,0.001057871,0.0001636088,0.00002436215,0.0001633269,0.0001272228,0.8804092,0.04643573,0.01087948,0.003277201,0.0572804],"study_design_scores_gemma":[0.000008926046,0.00002678834,0.0001260141,0.000005575713,0.000003724267,0.00002709923,0.00001021751,0.9881012,0.008003612,0.0004214483,0.003261629,0.00000371666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04092183,0.000100645,0.9436021,0.00009219913,0.00004863852,0.00008447849,0.0002139434,0.002723806,0.01221236],"genre_scores_gemma":[0.6269768,0.0002036166,0.3619663,0.0000483851,0.0000106116,0.0002883385,0.0003575446,0.0002215917,0.009926815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005788674,"threshold_uncertainty_score":0.01936507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02998625565989128,"score_gpt":0.3134142729510975,"score_spread":0.2834280172912063,"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."}}