{"id":"W2395952473","doi":"","title":"An Empirical Evaluation of Relay Selection in Tor.","year":2013,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relay; Anonymity; Computer science; Latency (audio); Selection (genetic algorithm); Computer network; Bandwidth (computing); Variety (cybernetics); Distributed computing; Telecommunications; Computer security; Artificial intelligence","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":[0.0007741193,0.00004246836,0.00007743989,0.00008702659,0.00001513227,0.00004127536,0.000191059,0.00003670431,0.000291174],"category_scores_gemma":[0.00003074374,0.00003366814,0.00002854922,0.0002888212,0.000006883667,0.0003957696,0.00001925627,0.00005671371,0.00003810248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004369494,"about_ca_system_score_gemma":0.00003590714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001450789,"about_ca_topic_score_gemma":0.0003486682,"domain_scores_codex":[0.99913,0.0001369966,0.0001896538,0.0001612245,0.0002914449,0.00009067369],"domain_scores_gemma":[0.9996229,0.00002086608,0.00004489598,0.00007243529,0.000213778,0.00002506891],"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":[0.000005490412,0.0007079353,0.0453169,0.00001187883,0.00005347903,0.000001028455,0.009568853,0.4552051,0.005326263,0.2265086,0.006083268,0.2512113],"study_design_scores_gemma":[0.00009506595,0.00004907442,0.02703219,0.000003376902,0.000003917434,9.297097e-7,0.0000503201,0.9722525,0.0004010328,0.00005126968,0.00001970249,0.00004056203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6856802,0.00000629171,0.3128899,0.0001178338,0.0000333121,0.00005857966,1.357275e-8,0.00002261272,0.001191273],"genre_scores_gemma":[0.9916002,3.209204e-7,0.00821524,0.00007451816,0.00002190589,0.000006766074,6.350625e-7,0.000001714303,0.00007870158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5170475,"threshold_uncertainty_score":0.3188151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246758845484454,"score_gpt":0.3227179489304152,"score_spread":0.2902503604755707,"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."}}