{"id":"W1971405291","doi":"10.1109/iccnc.2012.6167405","title":"Enhancing TCP performance in wireless mesh networks by cross layer design","year":2012,"lang":"en","type":"article","venue":"2012 International Conference on Computing, Networking and Communications (ICNC)","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Università di Pisa","keywords":"Computer network; Computer science; Wireless mesh network; Zeta-TCP; TCP acceleration; TCP Friendly Rate Control; TCP global synchronization; Compound TCP; TCP delayed acknowledgment; TCP tuning; TCP Westwood plus; H-TCP; Distributed computing; Network packet; Transmission Control Protocol; Wireless network; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001414921,0.0003044324,0.0002948054,0.000162691,0.0005150384,0.0004835126,0.002343023,0.0001572404,0.00003413158],"category_scores_gemma":[0.00001949597,0.0003138618,0.00006277971,0.000371601,0.0001715909,0.0007711646,0.0007809366,0.0006961246,0.0000382773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060283,"about_ca_system_score_gemma":0.00007217927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002385912,"about_ca_topic_score_gemma":0.00002580847,"domain_scores_codex":[0.9975556,0.0003989837,0.0005879827,0.00043544,0.0003533029,0.0006687127],"domain_scores_gemma":[0.9976104,0.0006221171,0.0003233653,0.001034332,0.0002165426,0.0001931852],"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":[0.00005746232,0.000407517,0.02926482,0.000009813578,0.00009055214,0.00000178077,0.001040675,0.00875675,0.000104144,0.3919217,0.002582869,0.5657619],"study_design_scores_gemma":[0.0005488308,0.00005278775,0.00533273,0.0002526784,0.000007302719,0.00001709828,0.00003657756,0.9840982,0.00004031978,0.0002246337,0.009036189,0.0003526824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03650554,0.001987724,0.9461765,0.001701754,0.00194493,0.0003349609,0.000002529336,0.0002826513,0.01106345],"genre_scores_gemma":[0.9897025,0.00190271,0.006680579,0.0006052096,0.000501395,0.00005007185,0.00002842512,0.00002116363,0.0005079361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9753414,"threshold_uncertainty_score":0.9999313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05847697346596767,"score_gpt":0.3013520127664013,"score_spread":0.2428750393004337,"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."}}