{"id":"W2794610431","doi":"10.1142/9789813149106_0006","title":"Preserving Privacy in Web Applications Through Traffic Padding","year":2018,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Padding; Computer science; Computer security; Internet privacy; Web traffic; World Wide Web; The Internet","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001219346,0.0005090505,0.0005994283,0.0009849162,0.0005668476,0.001339902,0.003361315,0.0002203,0.0005958867],"category_scores_gemma":[0.00001489476,0.0005033064,0.0003709865,0.0003479706,0.0004319476,0.0003366967,0.001064935,0.0007118632,0.0007227052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013995,"about_ca_system_score_gemma":0.0002805264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002168684,"about_ca_topic_score_gemma":0.00453674,"domain_scores_codex":[0.9956574,0.00005751318,0.0009445061,0.001752376,0.0008885118,0.0006996562],"domain_scores_gemma":[0.9975058,0.0001528815,0.0004811473,0.001463435,0.0002528801,0.0001438024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002442473,0.00002984556,0.000001608382,0.00005051503,0.00005999475,0.00002365572,0.004728279,0.0004750948,0.00004618875,0.9555131,0.03048484,0.008584492],"study_design_scores_gemma":[0.0001529639,0.00001386486,9.157479e-7,0.000416886,0.00003084085,0.000005972302,0.00002469233,0.1591881,0.00003700677,0.002904442,0.8367185,0.0005057644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004890407,0.0003803491,0.05659105,0.0001510347,0.00120364,0.000778916,0.00001427186,0.0004003259,0.9399914],"genre_scores_gemma":[0.1872548,0.000001555359,0.006943444,0.0001112824,0.0003718037,0.00006425398,0.00002745088,0.00005003234,0.8051754],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9526086,"threshold_uncertainty_score":0.9997419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03062419874334663,"score_gpt":0.2569931536900277,"score_spread":0.2263689549466811,"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."}}