{"id":"W4414229447","doi":"10.1109/mnet.2025.3592783","title":"Special Issue Editorial: Generative AI for Secure Communications and Networking","year":2025,"lang":"en","type":"article","venue":"IEEE Network","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Bank of Canada; University of New Brunswick","funders":"","keywords":"Generative grammar; Intelligent Network; Electronic mail; Server; Telephony","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":[0.005858855,0.004064966,0.003501115,0.005307934,0.003666125,0.01001829,0.003518425,0.01655787,0.03205958],"category_scores_gemma":[0.02332066,0.001393214,0.003088069,0.002226062,0.003221013,0.004100515,0.001979208,0.01643215,0.01167884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00339429,"about_ca_system_score_gemma":0.002279758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498389,"about_ca_topic_score_gemma":0.005124441,"domain_scores_codex":[0.9952546,0.0008611612,0.000444923,0.0006550538,0.002405213,0.0003789472],"domain_scores_gemma":[0.9770244,0.01043876,0.001456897,0.0009366591,0.00769394,0.002449416],"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":[0.00002930831,0.00001308346,0.00002613501,0.0001285077,0.00002020969,0.00006102275,0.000007810092,0.00005974632,0.00005645641,0.0006970237,0.9959589,0.002941722],"study_design_scores_gemma":[0.000111817,0.00005123171,0.0003564501,0.0003748362,0.00008614131,0.0002221138,0.00004033779,0.0008124891,0.0001797952,0.004506285,0.9932305,0.00002809519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003502558,0.00211693,0.0002115427,0.02081542,0.9747784,0.00001182188,0.00003756617,0.00004904934,0.001944222],"genre_scores_gemma":[0.0005070118,0.00133064,0.0001010795,0.007678565,0.9832666,0.00001540279,0.00002204375,0.00004787138,0.007030862],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03205958,"threshold_uncertainty_score":0.10725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542018781423879,"score_gpt":0.27958053969666,"score_spread":0.2641603518824212,"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."}}