{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004071581,0.0001433017,0.0001913741,0.00005545757,0.0007873802,0.0002719262,0.0006873978,0.0001689144,0.000005099611],"category_scores_gemma":[0.00001270249,0.0001477765,0.00006288821,0.0005796835,0.00008416576,0.0002833278,0.0002861907,0.0003032347,0.000007764063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004213478,"about_ca_system_score_gemma":0.00006393952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001230988,"about_ca_topic_score_gemma":0.0001745266,"domain_scores_codex":[0.9988456,0.0001300424,0.0002454253,0.0003303517,0.0001359165,0.0003126079],"domain_scores_gemma":[0.9987054,0.0003476328,0.00008721017,0.0006476511,0.0001502553,0.00006178519],"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":[0.0000214669,0.00001603055,0.0000232004,0.000006560095,0.00002282886,2.763717e-7,0.0002353939,0.0007610267,0.00001495847,0.01506135,0.9302058,0.05363108],"study_design_scores_gemma":[0.0002619535,0.00006467692,0.00001811137,0.00005564941,0.00001250853,0.000001302098,0.000006093655,0.07829414,0.00005180671,0.04141862,0.879689,0.0001261559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001055205,0.002262809,0.4326905,0.007946443,0.5448929,0.0007170931,0.000004473146,0.0002477122,0.0111325],"genre_scores_gemma":[0.004964924,0.0009820453,0.01569318,0.003762139,0.9736956,0.000119857,0.000008844649,0.00001344899,0.0007599359],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.4288027,"threshold_uncertainty_score":0.6055971,"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."}}