{"id":"W2131172657","doi":"10.1109/infcom.1993.253238","title":"ATM network traffic characterization using two types of on-off sources","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Queue; Computer science; Characterization (materials science); Algorithm; Computer network; Physics","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":[0.0005447808,0.0006724111,0.0004342383,0.0006250282,0.0003035716,0.0008593492,0.000714671,0.0007471755,0.0006225176],"category_scores_gemma":[0.003017738,0.0002143818,0.0004235905,0.0009001864,0.0003709207,0.0009588237,0.0004779341,0.000452965,0.00006985978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007601518,"about_ca_system_score_gemma":0.0003923996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00379033,"about_ca_topic_score_gemma":0.001955106,"domain_scores_codex":[0.9995721,0.000141739,0.00001630272,0.00006043648,0.0001435634,0.00006576035],"domain_scores_gemma":[0.9988674,0.0006335634,0.0001642534,0.0001004183,0.0001739748,0.00006046384],"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":[0.000160199,0.00006824903,0.005286513,0.0000267904,0.00001791496,0.0001762442,0.00005590477,0.9691647,0.005124104,0.008615026,0.0002276483,0.01107672],"study_design_scores_gemma":[0.000002778418,0.00001720369,0.0004094701,0.000001328994,0.000002351316,0.00002297243,0.000006620839,0.9981019,0.0004395714,0.0009396801,0.00005235265,0.00000377569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6534753,0.0001807942,0.3408288,0.000172483,0.00003318226,0.00006068937,0.0002451918,0.0001563998,0.004847126],"genre_scores_gemma":[0.9902907,0.00007107006,0.008814111,0.00001142186,0.00001735635,0.00001776767,0.00009542677,0.000006849315,0.0006753558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00379033,"threshold_uncertainty_score":0.00753653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05739535039791179,"score_gpt":0.2880354561757704,"score_spread":0.2306401057778586,"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."}}