{"id":"W3117176175","doi":"10.1109/mwc.001.2000329","title":"Security and Privacy for Mobile Edge Caching: Challenges and Solutions","year":2020,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Cache; Computer network; Computer security; Mobile edge computing; Enhanced Data Rates for GSM Evolution; Cloud computing; Edge device; Server; Telecommunications; 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":[0.0001769667,0.0001005632,0.0001426342,0.00003676658,0.0005487546,0.0001013051,0.001021538,0.00004643952,3.219256e-7],"category_scores_gemma":[0.00003710271,0.0001056815,0.00004234505,0.00008365084,0.0001196513,0.0002931135,0.0007196555,0.0001855729,0.000003101258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001336079,"about_ca_system_score_gemma":0.00003456781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003215202,"about_ca_topic_score_gemma":0.0000476249,"domain_scores_codex":[0.9992468,0.0001009301,0.0001517139,0.000257805,0.0000735362,0.0001691605],"domain_scores_gemma":[0.9984177,0.0003340556,0.00005775435,0.0009943049,0.00006780682,0.0001283877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001872585,0.0004372678,0.0003352166,0.0002195758,0.0001271885,0.00000203566,0.05701704,0.0001564374,0.008468683,0.6112166,0.001761433,0.3202398],"study_design_scores_gemma":[0.0008796356,0.0002181339,0.001085463,0.00006940499,0.00004074122,0.00002369692,0.001253552,0.9478832,0.0002147951,0.007524036,0.04036464,0.0004426631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5567632,0.07412712,0.2720925,0.09218262,0.0003491338,0.001519831,0.00008902123,0.0009279393,0.001948631],"genre_scores_gemma":[0.9894608,0.007485741,0.002457987,0.0003739408,0.00003848285,0.0001569653,0.000005720215,0.00000820133,0.00001212603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9477268,"threshold_uncertainty_score":0.4309565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10538060743852,"score_gpt":0.2860091286908601,"score_spread":0.1806285212523401,"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."}}