{"id":"W4289655075","doi":"10.1109/netsoft54395.2022.9844042","title":"Demo: A Network Simulator for 5G Virtualized Networks","year":2022,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada); Concordia University","funders":"","keywords":"Computer science; Network simulation; Network traffic simulation; Network traffic control; Traffic generation model; Scalability; Distributed computing; Network management station; Virtual network; Virtualization; Network virtualization; Computer network; Key (lock); Network architecture; Operating system; Cloud computing","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":[0.0006470597,0.0001928756,0.0002703502,0.00005095787,0.0007547123,0.0001516016,0.00115044,0.00006242489,0.0002352924],"category_scores_gemma":[0.00004075475,0.0001816461,0.0001919715,0.0007837583,0.00002226394,0.0001883946,0.0004563332,0.0002193151,0.00001294184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006051996,"about_ca_system_score_gemma":0.00006587251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001760244,"about_ca_topic_score_gemma":0.000006757935,"domain_scores_codex":[0.9980581,0.000110817,0.0003165294,0.0005390985,0.0003013573,0.0006741044],"domain_scores_gemma":[0.9981977,0.0008190378,0.0001073356,0.0006725014,0.00005532476,0.0001480459],"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":[0.0000363506,0.00003772917,0.0004317217,0.00000247316,0.00002463336,0.000004940232,0.0000465502,0.7891476,0.000001185659,0.08811167,0.1034575,0.01869771],"study_design_scores_gemma":[0.0007345661,0.0001756462,0.0001153995,0.000003285733,0.000007167456,0.000008534127,0.000008589598,0.7841786,0.000003551416,0.008852152,0.2056902,0.0002223751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006392525,0.000753177,0.9933124,0.0006930261,0.001751741,0.0004894215,0.000002895171,0.000692139,0.001666001],"genre_scores_gemma":[0.9178011,0.00002008178,0.06810488,0.009386406,0.001066243,0.0005042115,0.00002234427,0.00004756093,0.003047145],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9252075,"threshold_uncertainty_score":0.7407314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122185387795515,"score_gpt":0.2294144354876832,"score_spread":0.2171958967081317,"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."}}