{"id":"W4310021688","doi":"10.1007/s12243-022-00935-6","title":"Interactions between artificial intelligence and cybersecurity to protect future networks","year":2022,"lang":"en","type":"article","venue":"Annals of Telecommunications","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer security; Computer science","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":[0.003605437,0.0002568768,0.0001931491,0.001484156,0.001560777,0.005627869,0.0005009424,0.001612593,0.006433296],"category_scores_gemma":[0.007682172,0.000183035,0.0002245951,0.0009308347,0.006903724,0.005324414,0.001789286,0.002309857,0.0003532915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002290928,"about_ca_system_score_gemma":0.001919061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632062,"about_ca_topic_score_gemma":0.00254561,"domain_scores_codex":[0.9977275,0.001526636,0.00004518871,0.0001269634,0.0004091942,0.000164606],"domain_scores_gemma":[0.9871379,0.009578294,0.001250641,0.0005380707,0.0009110124,0.0005839886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002535874,0.00009277798,0.004883651,0.00008812251,0.00005618292,0.0001335759,0.001721946,0.005444027,0.0005934298,0.9589267,0.00425127,0.02378285],"study_design_scores_gemma":[0.0000187152,0.00006247289,0.007622764,0.0001904648,0.00003109425,0.000213826,0.004759448,0.01057376,0.0006388872,0.894013,0.08184689,0.00002872839],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1924543,0.008117029,0.05327363,0.08694905,0.0005100233,0.00006508704,0.00008907541,0.00007510221,0.6584668],"genre_scores_gemma":[0.9879447,0.001961222,0.003568924,0.001526083,0.0002040346,0.00002767807,0.00001322281,0.00001324616,0.004740888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006433296,"threshold_uncertainty_score":0.02152157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.120550505875067,"score_gpt":0.3937779571167052,"score_spread":0.2732274512416382,"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."}}