{"id":"W1972240863","doi":"10.1016/j.osn.2010.04.002","title":"A novel implementation of TCP Vegas for optical burst switched networks","year":2010,"lang":"en","type":"article","venue":"Optical Switching and Networking","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV","keywords":"TCP Vegas; Computer science; TCP Westwood plus; Computer network; Retransmission; TCP Friendly Rate Control; TCP global synchronization; Zeta-TCP; CUBIC TCP; TCP acceleration; TCP tuning; H-TCP; Network congestion; Real-time computing; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003342405,0.0002634873,0.0003782414,0.00006837196,0.0001418126,0.00006374172,0.0001923429,0.0002851884,0.000007404723],"category_scores_gemma":[0.00006366608,0.0002504656,0.00009110993,0.0002298201,0.0001188191,0.0001355137,0.0001056997,0.0006786879,9.764865e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002571854,"about_ca_system_score_gemma":0.00001047155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006224497,"about_ca_topic_score_gemma":0.00006560628,"domain_scores_codex":[0.9984125,0.000004674134,0.0004631645,0.0003159147,0.0001578812,0.0006458799],"domain_scores_gemma":[0.9988745,0.000605698,0.00006395499,0.0002534657,0.00004953313,0.0001527738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006568051,0.00005598375,0.001441028,0.0001075633,0.000119589,0.000003839145,0.00009725807,0.04489743,0.1009625,0.07409421,0.00007927041,0.7780756],"study_design_scores_gemma":[0.001526333,0.0002030282,0.002300113,0.0001402381,0.0001170276,0.00003850337,0.000256319,0.9801176,0.004955822,0.006603354,0.003094438,0.0006472346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3349307,0.0003180574,0.6627456,0.0001631696,0.0006790463,0.0002878685,0.00000248027,0.0003898782,0.0004831635],"genre_scores_gemma":[0.816435,0.0001249306,0.1827135,0.00003655134,0.0005784412,0.00004708135,0.000008839937,0.00005233781,0.000003299964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9352202,"threshold_uncertainty_score":0.9999948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181434951443052,"score_gpt":0.2611073276530878,"score_spread":0.2492929781386572,"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."}}