{"id":"W2892261547","doi":"10.1080/23742917.2018.1518060","title":"Clickstream tracking of TOR users: may be easier than you think","year":2018,"lang":"en","type":"article","venue":"Journal of Cyber Security Technology","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Anonymity; Computer science; Clickstream; Internet privacy; World Wide Web; Analytics; Key (lock); Focus (optics); Computer security; The Internet; Data science; Web navigation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002811498,0.0007014153,0.0005458567,0.001641676,0.001867928,0.004916812,0.0009271781,0.001803239,0.007046269],"category_scores_gemma":[0.0224147,0.0002652348,0.0003340486,0.001760694,0.001570347,0.008122504,0.0015477,0.001700289,0.00317845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009413222,"about_ca_system_score_gemma":0.0006838643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009162711,"about_ca_topic_score_gemma":0.009989459,"domain_scores_codex":[0.9976287,0.0009336825,0.0001386653,0.0003404013,0.0007208728,0.0002376801],"domain_scores_gemma":[0.9865579,0.00498738,0.002074591,0.002904449,0.002881407,0.0005943591],"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":[0.001364256,0.0001975537,0.1686206,0.0005444447,0.0002254872,0.001510761,0.01317101,0.00273432,0.006702087,0.07200454,0.233478,0.499447],"study_design_scores_gemma":[0.00008544804,0.0004931063,0.1385843,0.001239935,0.0003879282,0.008734851,0.02828805,0.06769442,0.03434414,0.1119729,0.6072885,0.0008864459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5179223,0.005785449,0.1768749,0.09680039,0.006264529,0.0004876473,0.00769478,0.01915927,0.1690107],"genre_scores_gemma":[0.9483565,0.001518987,0.01839372,0.004848902,0.00145533,0.00006684002,0.001415613,0.0006684707,0.02327556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009162711,"threshold_uncertainty_score":0.02357215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421447481069715,"score_gpt":0.2648472065561934,"score_spread":0.2506327317454963,"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."}}