{"id":"W2969402435","doi":"10.1109/pedg.2019.8807625","title":"A Real-time Simulator using a Cluster of FPGAs for Testing Distributed Generations","year":2019,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Opal-Rt Technologies (Canada)","funders":"","keywords":"Field-programmable gate array; Computer science; Latency (audio); MATLAB; Embedded system; Cluster (spacecraft); Low latency (capital markets); Real-time simulation; Real-time computing; Computer hardware; Simulation; Computer network; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001170504,0.0001086022,0.0002218828,0.0000563204,0.00003560445,0.00003477121,0.00006036363,0.00006267961,0.0001209304],"category_scores_gemma":[0.00005296494,0.0001004121,0.00007201241,0.0001565553,0.000006735998,0.0001251643,0.00001073095,0.00003027296,0.00004495853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004580606,"about_ca_system_score_gemma":0.00002246314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006169704,"about_ca_topic_score_gemma":0.000002604338,"domain_scores_codex":[0.9992673,0.0000161304,0.0003342126,0.0001176388,0.00009530647,0.0001693638],"domain_scores_gemma":[0.9993656,0.0002133485,0.00005245061,0.0001901056,0.0001295814,0.00004896122],"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":[0.000005596736,0.000006149852,0.000317688,0.00004284882,0.00002597251,6.903644e-8,0.0000234146,0.8140975,0.1850662,0.0001341007,0.0001424109,0.0001381052],"study_design_scores_gemma":[0.0008313078,0.00002332651,0.0002377245,0.00002605537,0.00001888446,0.0000014349,0.00001602434,0.9967062,0.001588606,0.00002783728,0.0004056059,0.0001169291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8110259,0.0000112677,0.1822019,0.00001405519,0.0001406244,0.0007461343,0.00005545473,0.0002527627,0.005551857],"genre_scores_gemma":[0.9917604,3.87564e-7,0.007444478,0.00001030976,0.0000883716,0.00001434723,0.00004332288,0.00002922777,0.0006090942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1834776,"threshold_uncertainty_score":0.4094686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821254172572271,"score_gpt":0.2408998099599239,"score_spread":0.2226872682342012,"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."}}