{"id":"W4306407034","doi":"10.1007/s42452-022-05193-8","title":"5G mobile networks: reviewing security control correctness for mischievous activity","year":2022,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Information and Cyber Security","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Network Access Control; Computer science; Computer security; Cellular network; Open network architecture; Safeguarding; Telecommunications; Network security; Mobile telephony; Computer network; Risk analysis (engineering); Business; Cloud computing security; Network management station; Network architecture; Mobile radio; Element management 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002366277,0.0001551881,0.00025072,0.00009684512,0.001852283,0.0003023253,0.001538497,0.00003434925,0.0000602967],"category_scores_gemma":[0.00002459768,0.0001410167,0.0001036506,0.0009558626,0.0001563148,0.0005610022,0.0002782939,0.0002408713,0.00001299259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006800876,"about_ca_system_score_gemma":0.0001554278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001343799,"about_ca_topic_score_gemma":0.000008687667,"domain_scores_codex":[0.9981707,0.0001045327,0.000265136,0.0004503557,0.0005429193,0.0004663741],"domain_scores_gemma":[0.9990395,0.0002286073,0.0002179673,0.0003649594,0.00005350611,0.00009551071],"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":[0.0001228204,0.0004477324,0.0002507884,0.0001340713,0.00004030469,0.000004552866,0.01131519,0.09510245,0.0006517065,0.6718295,0.01361393,0.2064869],"study_design_scores_gemma":[0.0009510292,0.0002536312,0.000117792,0.000008667018,0.00001006839,0.00001991901,0.0009057985,0.8734495,0.0006397573,0.006430988,0.1167481,0.0004647251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05019266,0.0008530648,0.8933777,0.0008643944,0.003052559,0.002865105,0.00003712769,0.0005131453,0.04824428],"genre_scores_gemma":[0.996152,0.0000126392,0.001334388,0.001459374,0.00008101069,0.0009105629,0.000003256635,0.000004584817,0.00004211749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9459594,"threshold_uncertainty_score":0.9994472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331128560007202,"score_gpt":0.2492126675565494,"score_spread":0.2359013819564774,"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."}}