{"id":"W4301170153","doi":"10.1145/3538969.3544412","title":"Analysis and prediction of web proxies misbehavior","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 17th International Conference on Availability, Reliability and Security","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Leverage (statistics); The Internet; Proxy (statistics); World Wide Web; Server; Anonymity; Web content; Proxy server; Web server; Web analytics; Web development; Web application security; Computer security","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":[0.002676012,0.0008665583,0.0006872912,0.003500778,0.0004160772,0.00110872,0.0006468558,0.001006019,0.0003050562],"category_scores_gemma":[0.01440295,0.0002385224,0.0004019912,0.001526884,0.0003590453,0.001321563,0.0005803439,0.0008804423,0.0005092727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007494686,"about_ca_system_score_gemma":0.0006054143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003557453,"about_ca_topic_score_gemma":0.002900776,"domain_scores_codex":[0.9973436,0.0007235892,0.0003062521,0.0005007034,0.0008514446,0.0002744998],"domain_scores_gemma":[0.9829307,0.008109707,0.003664431,0.002070487,0.002574608,0.0006501329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000419984,0.0003502606,0.8509805,0.00006584833,0.0001252535,0.0004203847,0.0002348534,0.07932047,0.006574324,0.0006278195,0.000913326,0.05996698],"study_design_scores_gemma":[0.00000953836,0.0001678412,0.1021751,0.00001122512,0.00003671095,0.0004258202,0.0001751084,0.8903922,0.005480077,0.0006543471,0.0004466824,0.0000254358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9815621,0.0002046137,0.01621243,0.00008753619,0.00001737789,0.0000593984,0.0004215944,0.0006626027,0.0007724449],"genre_scores_gemma":[0.9951754,0.00004784028,0.004154815,0.000009679142,0.00001047513,0.00001284105,0.0003935495,0.000009414166,0.0001860896],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003557453,"threshold_uncertainty_score":0.01415229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004682605307545,"score_gpt":0.2467000942704499,"score_spread":0.2266532682173744,"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."}}