{"id":"W2114398437","doi":"10.1007/s10776-007-0061-6","title":"Enhancing Fairness and Throughput of TCP in Heterogeneous Wireless Access Networks","year":2007,"lang":"en","type":"article","venue":"International Journal of Wireless Information Networks","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer network; Computer science; TCP Westwood plus; TCP Friendly Rate Control; TCP global synchronization; TCP acceleration; CUBIC TCP; Zeta-TCP; TCP tuning; Network congestion; Wireless network; TCP Vegas; Throughput; Wireless; Network packet; Telecommunications","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":[0.001386304,0.0001860578,0.0003606883,0.0004568277,0.0000455995,0.0003041749,0.001354788,0.0001619699,0.000008375657],"category_scores_gemma":[0.00003694027,0.0001736071,0.0001112231,0.0004081934,0.00007905179,0.003363549,0.0002631939,0.0004094524,0.00000129408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102681,"about_ca_system_score_gemma":0.00008260927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002122648,"about_ca_topic_score_gemma":0.00007886147,"domain_scores_codex":[0.9973008,0.00006642647,0.001527739,0.0001378845,0.0006581488,0.0003089959],"domain_scores_gemma":[0.9972684,0.0003659732,0.001272318,0.0001842082,0.0007820066,0.0001270441],"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":[0.0001645413,0.00004856688,0.0037673,0.00001133057,0.00008578918,0.00004838419,0.0005799563,0.3608658,0.00001661672,0.01036498,0.0001140106,0.6239327],"study_design_scores_gemma":[0.001583667,0.00008385789,0.004832567,0.000327737,0.00001098848,0.000343101,0.0001203319,0.9910666,0.0004296089,0.0003439655,0.0006469159,0.0002106319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1884211,0.0003154947,0.8087674,0.0002632631,0.001804399,0.0001030606,0.000001014024,0.00002333079,0.0003009661],"genre_scores_gemma":[0.9971665,0.0005128892,0.001306885,0.000520843,0.0004687957,0.000003096799,0.00000495224,0.000007868048,0.000008162141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8087454,"threshold_uncertainty_score":0.707949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007394912556597304,"score_gpt":0.2558552797880609,"score_spread":0.2484603672314636,"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."}}