{"id":"W4410967486","doi":"10.3390/electronics14112252","title":"Cybersecurity Analytics for the Enterprise Environment: A Systematic Literature Review","year":2025,"lang":"en","type":"article","venue":"Electronics","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Analytics; Data science; Software deployment; Big data; Business intelligence; Systematic review; Sophistication; Knowledge management; Cloud computing; Scalability; Computer security; Software engineering; Database; Data mining","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":[0.01061333,0.001326682,0.003305898,0.02049781,0.0008928023,0.003236491,0.001771746,0.001833817,0.004715226],"category_scores_gemma":[0.045485,0.0009390867,0.003940362,0.01745606,0.001110035,0.003872462,0.002345942,0.001525998,0.0006944169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002897942,"about_ca_system_score_gemma":0.02618259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007409422,"about_ca_topic_score_gemma":0.02572212,"domain_scores_codex":[0.9934137,0.002041755,0.002436918,0.0005769146,0.001316624,0.0002139857],"domain_scores_gemma":[0.9524887,0.03522807,0.005310425,0.0008674476,0.005565993,0.0005393805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0000825835,0.00004319543,0.001528586,0.8195679,0.001946269,0.0002227531,0.0008166381,0.0003296986,0.0003909653,0.001766545,0.006058327,0.1672465],"study_design_scores_gemma":[0.00003938563,0.0001045571,0.002788112,0.9206753,0.008045515,0.0003875623,0.0007879734,0.0001482109,0.0002245921,0.001058,0.06570111,0.00003960768],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001052569,0.9956341,0.0007952225,0.0009297931,0.0001396962,0.0002905081,0.0004583521,0.00001565178,0.0006840279],"genre_scores_gemma":[0.008201416,0.9885064,0.001783854,0.0006482606,0.00006768572,0.0004064919,0.0002649449,0.000008213324,0.0001125972],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02049781,"threshold_uncertainty_score":0.05612934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005578952429416357,"score_gpt":0.2281459484206311,"score_spread":0.2225669959912148,"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."}}