{"id":"W2108772417","doi":"10.1109/ccece.1999.807197","title":"End-to-end TCP performance in Ethernet/ATM networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Computer network; Computer science; TCP Friendly Rate Control; TCP global synchronization; TCP acceleration; Flow control (data); TCP tuning; Network congestion; Network packet","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":[0.002242365,0.0005284509,0.0004569203,0.0007403804,0.0007001935,0.0008730594,0.0006653288,0.000809278,0.0006825078],"category_scores_gemma":[0.006590733,0.0001814804,0.0001874205,0.0007632123,0.0006593465,0.001190161,0.0005127643,0.0007014818,0.00014826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007300354,"about_ca_system_score_gemma":0.0003316797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725515,"about_ca_topic_score_gemma":0.001544461,"domain_scores_codex":[0.9987137,0.0003149449,0.00006537853,0.0001350106,0.0005082586,0.0002626692],"domain_scores_gemma":[0.9957151,0.002593154,0.0003053575,0.0002935138,0.0008648764,0.0002279799],"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":[0.007155919,0.001312576,0.0468005,0.0003762025,0.0002452758,0.001418267,0.0007071212,0.6779278,0.1719664,0.008181066,0.003104844,0.08080398],"study_design_scores_gemma":[0.00005472208,0.0009870789,0.02128222,0.00003075025,0.00007599886,0.0003477194,0.000147102,0.9080292,0.06680565,0.00164813,0.0005312358,0.00006018637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857054,0.0009846289,0.009886967,0.00008740413,0.00003300729,0.00002243499,0.0001105036,0.0003527187,0.002816962],"genre_scores_gemma":[0.9982356,0.000126845,0.00125882,0.0000131305,0.000009372122,0.000006713845,0.00008202588,0.00001549184,0.0002519614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002725515,"threshold_uncertainty_score":0.01185894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009113901932873494,"score_gpt":0.2065199320695791,"score_spread":0.1974060301367057,"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."}}