{"id":"W1972355341","doi":"10.1109/hase.2015.26","title":"A Proxy Identifier Based on Patterns in Traffic Flows","year":2015,"lang":"en","type":"article","venue":"","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute for Materials Science; Dalhousie University","keywords":"Computer science; Proxy (statistics); Identifier; Computer security; Identification (biology); The Internet; Proxy server; Computer network; World Wide Web; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005350492,0.0001205955,0.0001567821,0.0001953843,0.00003668905,0.0001393213,0.0005820052,0.00005007048,0.00006218228],"category_scores_gemma":[0.00003440489,0.00009435064,0.00008366396,0.0003175565,0.000007881301,0.0001944181,0.00009242615,0.0001372847,0.0001553763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005542031,"about_ca_system_score_gemma":0.00006120287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002746414,"about_ca_topic_score_gemma":0.0006532106,"domain_scores_codex":[0.9986901,0.00007560883,0.0002568302,0.0003678886,0.0003563925,0.0002531874],"domain_scores_gemma":[0.9995047,0.00003883805,0.00004408663,0.0002497599,0.00005985481,0.0001027289],"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":[0.00002568551,0.0006933525,0.00268217,0.00002367569,0.0000391901,0.0002287452,0.009975675,0.8694322,0.00001728586,0.08320713,0.00428068,0.0293942],"study_design_scores_gemma":[0.0003671507,0.00006679067,0.0002362067,0.00003413212,0.000003008997,0.000001723699,0.00009311287,0.9985384,0.00005095892,0.00000862486,0.0004724645,0.0001274382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5257761,0.0000074255,0.4711124,0.0004396294,0.0002442444,0.00009428434,3.904141e-7,0.0001103871,0.002215103],"genre_scores_gemma":[0.9957248,1.976742e-7,0.00286857,0.0006819541,0.00005128518,0.00001069579,0.000002637415,0.000006624051,0.0006532574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4699487,"threshold_uncertainty_score":0.3847507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182649599754807,"score_gpt":0.2484635704646859,"score_spread":0.2266370744671378,"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."}}