{"id":"W2038609222","doi":"10.1145/1185373.1185403","title":"TCP throughput performance in IEEE 802.11-based multi-hop wireless networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer network; Computer science; TCP Friendly Rate Control; TCP acceleration; TCP global synchronization; TCP tuning; TCP Westwood plus; Zeta-TCP; CUBIC TCP; TCP delayed acknowledgment; H-TCP; Throughput; Transmission Control Protocol; Network packet; Wireless; 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":[0.0004028596,0.0002683992,0.0002986969,0.0001059962,0.0001424046,0.0002192046,0.001032767,0.0001757735,0.00003571291],"category_scores_gemma":[0.000002438761,0.0002316607,0.00008773943,0.0007960946,0.00006533454,0.0005837224,0.0001254493,0.0002809034,0.00005060546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006729843,"about_ca_system_score_gemma":0.00008809869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005002671,"about_ca_topic_score_gemma":0.001103083,"domain_scores_codex":[0.997914,0.00009447609,0.0004481391,0.0005682081,0.0002907231,0.0006845185],"domain_scores_gemma":[0.9988955,0.0001188191,0.0001174115,0.0007120629,0.00006964977,0.00008660236],"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":[0.00002629344,0.000393831,0.1002591,0.00004470735,0.000005825046,0.00004549095,0.00006833433,0.8263727,0.00008741735,0.008521109,0.006339979,0.05783526],"study_design_scores_gemma":[0.001182449,0.0000594309,0.03676135,0.00009465696,0.000001403887,0.000003354625,0.000002688965,0.956092,0.0012012,0.00006065596,0.004206891,0.0003339218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06306305,0.00005857634,0.9311114,0.0002961942,0.0004100672,0.00235162,6.529792e-7,0.0003006835,0.002407733],"genre_scores_gemma":[0.969162,0.00001079377,0.02789044,0.0007639636,0.0003118555,0.001184443,0.000004390661,0.00002155239,0.0006505614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.906099,"threshold_uncertainty_score":0.944685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851946033349971,"score_gpt":0.2487396465216948,"score_spread":0.2302201861881951,"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."}}