{"id":"W2117573063","doi":"10.1109/imtc.2009.5168508","title":"Measurement-based traffic characterization for Web 2.0 applications","year":2009,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Popularity; Web service; Quality of service; Web traffic; Traffic generation model; Web application; World Wide Web; Computer network; The Internet","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":[0.001106292,0.0006188738,0.000473272,0.003343643,0.0005897895,0.00102661,0.0006598947,0.0005939218,0.0006175484],"category_scores_gemma":[0.003905654,0.0002242816,0.0003414893,0.001745391,0.0003693531,0.001228312,0.0004087501,0.0005531597,0.0002274698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055152,"about_ca_system_score_gemma":0.0005556333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004336111,"about_ca_topic_score_gemma":0.002288359,"domain_scores_codex":[0.9990152,0.0004310032,0.00005923564,0.00009863944,0.0003191061,0.00007688534],"domain_scores_gemma":[0.9973401,0.001227644,0.000314801,0.0002697807,0.0007665427,0.00008111286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008468054,0.0008679018,0.09890768,0.000338024,0.0001285511,0.0005207577,0.0007662546,0.3675775,0.158546,0.02272555,0.002830693,0.3459443],"study_design_scores_gemma":[0.00000650213,0.00008195531,0.01148463,0.00001202236,0.00001498029,0.0001439924,0.00014096,0.9651937,0.01966346,0.002189329,0.001028064,0.00004048089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4257629,0.0002663489,0.5668442,0.0001544631,0.00004496194,0.0002104655,0.0003142361,0.00172262,0.004679797],"genre_scores_gemma":[0.9510021,0.000141059,0.0476635,0.00002019129,0.00002337337,0.0001294452,0.0003907334,0.00008907277,0.0005404948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004336111,"threshold_uncertainty_score":0.008621752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665644276966334,"score_gpt":0.2232784914974442,"score_spread":0.2066220487277809,"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."}}