{"id":"W4402322793","doi":"10.5539/cis.v17n2p28","title":"Proactively Defending Enterprise Computer Systems Against Threats and Vulnerabilities","year":2024,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer security; Secure coding; Information security; Software security assurance; Security service","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00649143,0.0011141,0.0004925642,0.002965749,0.001273219,0.0081803,0.002797578,0.002064301,0.001299183],"category_scores_gemma":[0.01483159,0.0007758837,0.0007974918,0.001389443,0.001939111,0.009151181,0.004142229,0.002140109,0.0006587144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108592,"about_ca_system_score_gemma":0.003908909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196889,"about_ca_topic_score_gemma":0.002780773,"domain_scores_codex":[0.9957254,0.001458934,0.0002693062,0.0004939187,0.001675131,0.0003773615],"domain_scores_gemma":[0.9897091,0.004202097,0.001223334,0.00326513,0.001281094,0.0003192477],"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":[0.0001348304,0.0008337146,0.02196087,0.001252099,0.000287241,0.0005227876,0.005546115,0.1058023,0.06679156,0.1800471,0.007148533,0.6096729],"study_design_scores_gemma":[0.00007977161,0.0009251687,0.009073592,0.001154007,0.0005373101,0.001835193,0.008169676,0.5645763,0.09985945,0.2214949,0.09203756,0.0002570161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1291647,0.001794148,0.8411548,0.00495904,0.00009093029,0.0005231564,0.00009323519,0.005404658,0.01681534],"genre_scores_gemma":[0.6813723,0.00151808,0.3127527,0.0005603548,0.00004269753,0.0001460106,0.0002121004,0.0001891335,0.003206549],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0081803,"threshold_uncertainty_score":0.03433031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149902381888944,"score_gpt":0.2468351612202969,"score_spread":0.2318449230314025,"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."}}