{"id":"W3004612630","doi":"10.1016/b978-0-444-64054-3.00003-2","title":"Principles and concepts for security risk assessment","year":2020,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Conceptualization; Vulnerability (computing); Vulnerability assessment; Risk assessment; Order (exchange); Computer science; Management science; Risk analysis (engineering); Engineering; Computer security; Business; Psychology; Artificial intelligence","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":[0.0009783393,0.001503579,0.0007373604,0.002513908,0.0007681396,0.004188498,0.001119078,0.001685202,0.03811651],"category_scores_gemma":[0.001894811,0.0006675523,0.0007245519,0.002010203,0.002334869,0.003580418,0.00137111,0.003314071,0.01698424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473166,"about_ca_system_score_gemma":0.00137385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001856706,"about_ca_topic_score_gemma":0.002254485,"domain_scores_codex":[0.9993212,0.0001211509,0.00003688067,0.00005284525,0.0004396912,0.00002814825],"domain_scores_gemma":[0.9993723,0.0003679819,0.00003067292,0.00007005184,0.0001365416,0.0000225101],"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":[0.000003893472,0.00002490267,0.00006519497,0.0002076352,0.00001038077,0.00005117754,0.0002011951,0.003967227,0.0004722679,0.7817237,0.06518932,0.1480831],"study_design_scores_gemma":[0.000002054789,0.000007901322,0.00008003847,0.0002052529,0.000004955038,0.00008405167,0.00006202259,0.003110514,0.0001778807,0.7327533,0.2635025,0.000009477219],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0008444813,0.01771881,0.2580653,0.003642906,0.00136174,0.00008885794,0.0002969098,0.0005301203,0.717451],"genre_scores_gemma":[0.02826483,0.03400722,0.140704,0.001669754,0.001963649,0.000380479,0.0005397001,0.0004694383,0.7920009],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03811651,"threshold_uncertainty_score":0.1275125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0771206969366453,"score_gpt":0.3768084866734042,"score_spread":0.2996877897367589,"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."}}