{"id":"W2083324512","doi":"10.1109/mcom.2015.7081092","title":"Virtualized security at the network edge: a user-centric approach","year":2015,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"European Commission","keywords":"Computer science; Computer security; Virtualization; Terminal (telecommunication); Edge device; Domain (mathematical analysis); Enhanced Data Rates for GSM Evolution; Computer network; Telecommunications; Cloud computing; Operating system","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":[0.001114985,0.0002127747,0.0002510524,0.00005125673,0.0006444564,0.0002191908,0.004974193,0.0001000601,0.00001365162],"category_scores_gemma":[0.000142429,0.0001589232,0.0001111001,0.001614844,0.0002456926,0.0003053856,0.002318146,0.000409142,0.0005602776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001422323,"about_ca_system_score_gemma":0.0001330066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000317706,"about_ca_topic_score_gemma":0.0001040062,"domain_scores_codex":[0.997881,0.0005708358,0.0003779349,0.0003641385,0.000356073,0.0004500145],"domain_scores_gemma":[0.9930566,0.000612465,0.0001910777,0.005681301,0.0002491909,0.000209358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002166223,0.0003479664,0.001715924,0.000006357301,0.00004884467,0.00000226263,0.001182891,0.004589165,0.000008911431,0.06098781,0.9247969,0.006291293],"study_design_scores_gemma":[0.0008874034,0.00004663495,0.0007640458,0.0000148882,0.00002579712,0.00004620348,0.00002739723,0.1671256,0.000008525779,0.007423289,0.8233647,0.0002654697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005344296,0.02531527,0.8577476,0.01893532,0.002771627,0.001495032,0.00002223147,0.001523044,0.08684555],"genre_scores_gemma":[0.7993595,0.002421589,0.1809392,0.004644618,0.001180289,0.0005595775,0.0001915014,0.00008588611,0.01061788],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7940152,"threshold_uncertainty_score":0.9243371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04915689450363752,"score_gpt":0.27876874503243,"score_spread":0.2296118505287925,"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."}}