{"id":"W7101407729","doi":"10.1007/978-3-031-95280-7_31","title":"Optimizing Cyber Strategy with the Risk Management: NIST Framework","year":2025,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"NIST; Vulnerability (computing); Process (computing); Risk management; Vulnerability assessment; Identification (biology); Key (lock); Incident management; Risk assessment","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":[0.002528297,0.001405459,0.001379241,0.001085573,0.0005507601,0.002993568,0.00168099,0.002071682,0.003708521],"category_scores_gemma":[0.005573336,0.0004943464,0.0009595613,0.001582495,0.001901031,0.003823415,0.001655103,0.002206725,0.0005712811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00278559,"about_ca_system_score_gemma":0.003527506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003255537,"about_ca_topic_score_gemma":0.003595367,"domain_scores_codex":[0.9977563,0.001139655,0.0000697981,0.0001824809,0.0007332438,0.0001185043],"domain_scores_gemma":[0.9987453,0.0006536988,0.0001400442,0.0001772882,0.0002237338,0.00005998162],"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":[0.00001690396,0.00003797429,0.0002070958,0.00005954559,0.00003378367,0.00001943826,0.00003998091,0.2730421,0.0002337647,0.6944572,0.003451866,0.0284004],"study_design_scores_gemma":[0.000005715321,0.00003875932,0.0001765381,0.00004061283,0.00001734833,0.00002113027,0.00001953213,0.432768,0.0002803472,0.5625322,0.004082449,0.00001737042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01212272,0.00198169,0.8723381,0.003055514,0.0001777068,0.00006039454,0.0001399616,0.0001809166,0.1099431],"genre_scores_gemma":[0.6955284,0.00370375,0.2657487,0.0005120511,0.0004396213,0.0002659415,0.0001988815,0.0002878169,0.03331476],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003708521,"threshold_uncertainty_score":0.02021098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805167576622332,"score_gpt":0.2721771053674693,"score_spread":0.254125429601246,"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."}}