{"id":"W1481202711","doi":"","title":"Improving tor using a TCP-over-DTLS tunnel","year":2009,"lang":"en","type":"article","venue":"UWSpace (University of Waterloo)","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Computer science; TCP tuning; TCP acceleration; Datagram; Zeta-TCP; TCP global synchronization; Network packet; TCP Friendly Rate Control; Transmission Control Protocol","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":[0.000194853,0.0001417255,0.0002518145,0.0001732471,0.0001917277,0.00006981968,0.0007988513,0.00008016689,0.00005494301],"category_scores_gemma":[0.000009582696,0.000153628,0.0001819753,0.0002883408,0.00004725335,0.0006233904,0.0001929261,0.000129167,0.00002187501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007528441,"about_ca_system_score_gemma":0.00004215256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006065274,"about_ca_topic_score_gemma":0.002050663,"domain_scores_codex":[0.9989043,0.00004471341,0.000119483,0.0003600291,0.0002533297,0.0003180898],"domain_scores_gemma":[0.9993645,0.00002087142,0.000161641,0.0002589051,0.00009595495,0.00009814182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001557551,0.0007959433,0.001386806,0.0001718827,0.0005117043,0.0008128578,0.410309,0.02788056,0.1348836,0.2613586,0.003711689,0.1580216],"study_design_scores_gemma":[0.0004285783,0.0001350481,0.001227986,0.00004743725,0.00004561683,0.000009308086,0.006413792,0.9906525,0.0006153073,0.00004151409,0.0001310318,0.0002518799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8442096,0.00003185994,0.1547842,0.0006225911,0.000105137,0.00006008887,0.000001409164,0.00008704893,0.00009804374],"genre_scores_gemma":[0.9581457,0.000003316033,0.03223806,0.00009254376,0.00004269017,1.82122e-8,0.000001493912,0.00000469866,0.00947149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.962772,"threshold_uncertainty_score":0.9168921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173513513275513,"score_gpt":0.1959627018086858,"score_spread":0.1842275666759307,"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."}}