{"id":"W7143294697","doi":"10.35467/sdq/217647","title":"Introduction to the Special Issue on AI frontiers in cybersecurity and infrastructure protection","year":2025,"lang":"","type":"article","venue":"Security and Defence Quarterly","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Government (linguistics); Data Protection Act 1998; Key (lock); Vulnerability (computing)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001029067,0.0004654539,0.0004733605,0.000623287,0.0009777412,0.0009208922,0.0005247113,0.0004360488,0.00009165193],"category_scores_gemma":[0.000113646,0.0004124846,0.00008942687,0.002061024,0.0003595894,0.001103736,0.0001781479,0.00158403,0.00004071712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859825,"about_ca_system_score_gemma":0.0001260039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004254115,"about_ca_topic_score_gemma":0.001337866,"domain_scores_codex":[0.9963108,0.0005767004,0.0006331881,0.001402832,0.0004538622,0.0006226501],"domain_scores_gemma":[0.9986514,0.00006558866,0.0001742993,0.0007464034,0.0001540914,0.0002081479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006601699,0.0001521779,0.0002961346,0.0001455841,0.00003478771,0.000009140237,0.04572663,0.0002250743,0.000036243,0.01898452,0.0939721,0.8397574],"study_design_scores_gemma":[0.001523827,0.003999334,0.01392056,0.0005539221,0.00006434284,0.00007788914,0.007066613,0.1151519,0.0004162202,0.1738332,0.6824362,0.0009560015],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6594623,0.002527535,0.1166124,0.1759361,0.03756727,0.005034516,0.00004260498,0.0002286318,0.002588693],"genre_scores_gemma":[0.9821246,0.0005568058,0.000490644,0.003471704,0.01307955,0.00009011681,0.000003252504,0.00001365048,0.000169637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8388014,"threshold_uncertainty_score":0.9998327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003342893691518419,"score_gpt":0.2105560608098235,"score_spread":0.2072131671183051,"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."}}