{"id":"W2546280509","doi":"10.1109/metrisec.2011.12","title":"Security Risk Management by Qualitative Vulnerability Analysis","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Vulnerability (computing); Risk analysis (engineering); Computer science; Risk management; Vulnerability assessment; Process (computing); Risk assessment; Selection (genetic algorithm); Qualitative analysis; Quantitative analysis (chemistry); Computer security; Qualitative research; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001146192,0.00009153334,0.0001232418,0.00009684217,0.00006092821,0.00004951451,0.0005416983,0.00003232025,0.0001829634],"category_scores_gemma":[0.00005532172,0.00007694797,0.00008731621,0.0007276601,0.00001956555,0.0004107205,0.0001834696,0.0001160901,0.00002205219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002058392,"about_ca_system_score_gemma":0.000003199597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008189422,"about_ca_topic_score_gemma":0.00001744944,"domain_scores_codex":[0.9990366,0.0002146298,0.0001494918,0.000302941,0.0001538835,0.0001425147],"domain_scores_gemma":[0.9990041,0.0002236676,0.00007465082,0.0006033762,0.00003640494,0.0000578604],"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":[0.00003515882,0.001021712,0.02803032,0.00008893596,0.003972953,0.00003391061,0.08918486,0.0001869206,0.000006595085,0.755334,0.04511098,0.07699368],"study_design_scores_gemma":[0.0005999916,0.0004985242,0.0355405,0.00001262237,0.001256814,0.000004098163,0.002631605,0.1552339,0.006108848,0.7327583,0.06359791,0.001756868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004888099,0.00005668098,0.9732566,0.00005659855,0.00005129412,0.00008338532,0.000005367663,0.0007053571,0.02089659],"genre_scores_gemma":[0.6028362,0.00004096004,0.3968989,0.00004908039,0.000003218311,0.00001654806,0.000001529507,0.000002316222,0.000151204],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5979481,"threshold_uncertainty_score":0.3137847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824263138750765,"score_gpt":0.3145270286382386,"score_spread":0.286284397250731,"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."}}