{"id":"W2093825062","doi":"10.1109/tpwrd.2012.2229723","title":"The Reconfigurable-Hardware Real-Time and Faster-Than-Real-Time Simulator for the Analysis of Electromagnetic Transients in Power Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Real-time simulation; Reconfigurability; Hardware-in-the-loop simulation; Field-programmable gate array; Computation; Computer architecture simulator; Computer science; Real-time Control System; Power (physics); Hardware architecture; Simulation; Computer hardware; Embedded system; Real-time computing; Software; Control (management)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004932102,0.0005833743,0.0004261581,0.0003899102,0.000222346,0.0005480176,0.0009930828,0.0005131928,0.005574589],"category_scores_gemma":[0.001475791,0.0002911815,0.000579324,0.0003980977,0.0003115842,0.000728823,0.000383058,0.001197557,0.0009574372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004353244,"about_ca_system_score_gemma":0.001102384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554513,"about_ca_topic_score_gemma":0.002283662,"domain_scores_codex":[0.9996921,0.00008328939,0.00001860143,0.00002816726,0.0001488721,0.00002900216],"domain_scores_gemma":[0.9994687,0.0002129103,0.00004904058,0.0001344395,0.00009504834,0.00003978744],"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":[0.000237205,0.0001075889,0.002539905,0.0004154786,0.0001644441,0.0003870239,0.0002020592,0.810918,0.05365532,0.04164618,0.01040555,0.07932136],"study_design_scores_gemma":[0.00003556057,0.00007159646,0.0003476145,0.00002002057,0.00001788285,0.00009143058,0.00001313552,0.9702007,0.01121885,0.002278508,0.01568381,0.00002094184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0332252,0.0007239286,0.9457536,0.0002156374,0.0002922642,0.0001734921,0.0004787571,0.006816159,0.01232098],"genre_scores_gemma":[0.6593944,0.001301335,0.3243153,0.0001826252,0.00008303193,0.0004789823,0.001613391,0.001310249,0.01132061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005574589,"threshold_uncertainty_score":0.01864886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007687545552727906,"score_gpt":0.2120261591934572,"score_spread":0.2043386136407292,"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."}}