{"id":"W2579119731","doi":"10.1109/tie.2017.2652403","title":"Dynamic Variable Time-Stepping Schemes for Real-Time FPGA-Based Nonlinear Electromagnetic Transient Emulation","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Emulation; Real-time simulation; Hardware emulation; Computer science; Field-programmable gate array; Transient (computer programming); Virtex; Oscilloscope; Nonlinear system; Embedded system; Computer hardware; Electronic engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003605622,0.0003733131,0.0004708582,0.0002218997,0.0006956017,0.0002842329,0.0003271766,0.0004465271,0.0002244915],"category_scores_gemma":[0.00002431108,0.0004168161,0.0002469509,0.0002018849,0.00004312917,0.0003255091,7.350141e-7,0.0005211606,0.00009618491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005072402,"about_ca_system_score_gemma":0.0003487174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004833571,"about_ca_topic_score_gemma":0.00003211921,"domain_scores_codex":[0.9979103,0.00006803209,0.0005805556,0.0004002769,0.0003138611,0.0007269772],"domain_scores_gemma":[0.9986884,0.0002068321,0.0001637535,0.0006700039,0.000123615,0.0001474051],"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":[0.0003547793,0.0001039948,4.892761e-7,0.00003528396,0.0001709587,8.415423e-7,0.00002415686,0.8076383,0.1625616,0.00004467832,0.0001861866,0.02887877],"study_design_scores_gemma":[0.004380308,0.0005599667,0.000005621082,0.00007516922,0.0001661095,0.000002925564,0.000003946398,0.9591613,0.0252625,0.00004713116,0.009931431,0.000403622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.093546,0.0001039857,0.8976729,0.0003133697,0.001223189,0.002527379,0.0001704731,0.000986505,0.003456198],"genre_scores_gemma":[0.9952247,0.00003769395,0.002150577,0.00002531527,0.0002400883,0.0002350843,0.00007940329,0.0001316974,0.001875444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9016787,"threshold_uncertainty_score":0.9998283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441956757259032,"score_gpt":0.2403283463094055,"score_spread":0.2259087787368152,"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."}}