{"id":"W4388827121","doi":"10.5539/cis.v16n4p1","title":"The Evolution of Information Security Strategies: A Comprehensive Investigation of INFOSEC Risk Assessment in the Contemporary Information Era","year":2023,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Information and Cyber Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Harmonization; Information assurance; Information security; Risk analysis (engineering); Information security management system; Information security management; Knowledge management; Risk management; Management science; Data science; Computer security; Security information and event management; Business; Cloud computing security; Engineering","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":[0.01121588,0.0007598824,0.0005605448,0.009340262,0.00189053,0.01015963,0.0008227982,0.00203393,0.001094001],"category_scores_gemma":[0.01271251,0.0003188602,0.0005495745,0.005061953,0.006771707,0.01336567,0.003071754,0.001810794,0.0001363509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006334016,"about_ca_system_score_gemma":0.004878625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003217449,"about_ca_topic_score_gemma":0.004215141,"domain_scores_codex":[0.9918008,0.00411188,0.0004299472,0.0004103696,0.002878695,0.0003683409],"domain_scores_gemma":[0.9877101,0.007356979,0.001977414,0.000524476,0.002124387,0.000306662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009630298,0.0002823045,0.04970212,0.001222446,0.0002310099,0.000531638,0.0289035,0.01761371,0.002474401,0.5550537,0.002694726,0.341194],"study_design_scores_gemma":[0.00002145999,0.0009145614,0.1123718,0.005755827,0.0003063225,0.001476045,0.1183494,0.05421088,0.004100891,0.5999658,0.1022785,0.0002485527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5922272,0.05632424,0.1060989,0.03522674,0.0001552163,0.0005219144,0.0002355661,0.0001453205,0.2090648],"genre_scores_gemma":[0.9698037,0.0108542,0.01708247,0.0005873543,0.00004492859,0.00009288792,0.00004649291,0.00001606182,0.001471868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01121588,"threshold_uncertainty_score":0.05931598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517572916586047,"score_gpt":0.2598526030310543,"score_spread":0.2446768738651939,"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."}}