{"id":"W2135222901","doi":"10.5539/cis.v7n2p1","title":"Realistic Network Traffic Profile Generation: Theory and Practice","year":2014,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Provisioning; Traffic generation model; Context (archaeology); Network traffic simulation; The Internet; Internet traffic; Order (exchange); Data science; Network traffic control; Real-time computing; Computer network; World Wide Web; Network packet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004930877,0.001084871,0.000819966,0.00192549,0.0007088383,0.002869674,0.002569841,0.002045283,0.002091466],"category_scores_gemma":[0.02539788,0.00106583,0.0006579916,0.00151905,0.002011278,0.003380387,0.001390484,0.002384073,0.0006332455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205357,"about_ca_system_score_gemma":0.001178461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003071244,"about_ca_topic_score_gemma":0.001704055,"domain_scores_codex":[0.9970715,0.001318114,0.0001362449,0.0003391497,0.001004963,0.0001300277],"domain_scores_gemma":[0.9890884,0.00750027,0.0004459969,0.001667683,0.00112631,0.0001713402],"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":[0.00005660568,0.0001679772,0.002308869,0.0002914216,0.00003845492,0.0001350851,0.0003030191,0.7394626,0.002973458,0.1655476,0.003331102,0.08538383],"study_design_scores_gemma":[0.00000969716,0.00002387314,0.0001613248,0.00006499736,0.000006808647,0.00008356968,0.00003805781,0.94432,0.001666406,0.05005737,0.003550558,0.0000173645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007881333,0.0003579111,0.986962,0.0004096445,0.00004384953,0.00008146508,0.00007363647,0.0005362941,0.003653954],"genre_scores_gemma":[0.4061137,0.00215389,0.5883319,0.0002534149,0.0001448186,0.000506251,0.0004704985,0.0004585743,0.001566899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004930877,"threshold_uncertainty_score":0.02607733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049014413503281,"score_gpt":0.235580677757212,"score_spread":0.2250905336221792,"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."}}