{"id":"W2140490525","doi":"10.1109/90.842137","title":"Modeling TCP Reno performance: a simple model and its empirical validation","year":2000,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Networking","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1181,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Computer science; H-TCP; TCP acceleration; Flow (mathematics); Communication source; TCP global synchronization; File Transfer Protocol; Zeta-TCP; CUBIC TCP; Transfer (computing); Simple (philosophy); Computer network; Network congestion; Operating system; Mechanics; The Internet; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000279543,0.0002331271,0.0002190229,0.0001154474,0.0005928735,0.0001894777,0.0004799818,0.000134861,0.00005862398],"category_scores_gemma":[0.000002639398,0.0002369771,0.0000871055,0.0004387541,0.00002246856,0.0005863941,0.000007765963,0.0003731343,0.00004963252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005309984,"about_ca_system_score_gemma":0.00006608979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004139325,"about_ca_topic_score_gemma":0.000008454645,"domain_scores_codex":[0.9982628,0.00007816716,0.0003471641,0.0005455809,0.0003167102,0.0004495987],"domain_scores_gemma":[0.9991139,0.0001070776,0.00004501068,0.0005056254,0.00006632223,0.0001621103],"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":[0.00002088476,0.0000268236,0.000009727057,0.000003706211,0.00001127979,0.000001208449,0.0001351606,0.5923687,0.00001484465,0.00004593603,0.00004789873,0.4073138],"study_design_scores_gemma":[0.0005103399,0.00007417695,0.00001289144,0.00005529985,0.00002746866,0.0000199863,0.000006661024,0.9972359,0.00007588955,0.0007601094,0.0009596107,0.0002616638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2483481,0.0001895089,0.7497128,0.0005393955,0.0003231675,0.0001706256,0.000001785902,0.0003090939,0.0004055655],"genre_scores_gemma":[0.9926538,0.000696704,0.005234919,0.0005630789,0.000309274,0.00005193306,0.000002986763,0.0000224475,0.0004647982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7444779,"threshold_uncertainty_score":0.9663647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610366903569576,"score_gpt":0.2720498297292525,"score_spread":0.2259461606935567,"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."}}