{"id":"W2997601754","doi":"10.4018/ijsssp.2019010101","title":"Designing Sound Security Metrics","year":2019,"lang":"en","type":"article","venue":"International Journal of Systems and Software Security and Protection","topic":"Information and Cyber Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Metric (unit); Security testing; Computer security; Sound (geography); Software security assurance; Computer security model; Security information and event management; Security service; Information security; Cloud computing security; Engineering","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":[0.04610528,0.00287579,0.001754023,0.008820692,0.002916339,0.00966163,0.003185654,0.003083012,0.003476846],"category_scores_gemma":[0.1709585,0.001748087,0.001170778,0.003464324,0.005660754,0.01869353,0.006609389,0.004912967,0.001749898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004518983,"about_ca_system_score_gemma":0.01328869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002862791,"about_ca_topic_score_gemma":0.002428383,"domain_scores_codex":[0.9266841,0.03033886,0.009461665,0.004428528,0.02719775,0.00188897],"domain_scores_gemma":[0.8614663,0.05689721,0.01326825,0.01940016,0.04623567,0.002732286],"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":[0.00007575755,0.0001780716,0.006061555,0.001887594,0.0001366749,0.0002018424,0.001639329,0.02939714,0.006482159,0.705383,0.009303936,0.2392529],"study_design_scores_gemma":[0.00008810099,0.000655505,0.002293454,0.002077419,0.000146152,0.0005391189,0.002126602,0.08983412,0.01718023,0.7241782,0.1606468,0.0002344512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009197971,0.001110549,0.9705887,0.003473437,0.0003543791,0.001547517,0.0002736429,0.001349623,0.01210412],"genre_scores_gemma":[0.07646713,0.0009064588,0.9181132,0.0004042187,0.0001182181,0.00135032,0.0005463126,0.0005243415,0.001569677],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04610528,"threshold_uncertainty_score":0.2438309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462974154513465,"score_gpt":0.237685784008433,"score_spread":0.2230560424632984,"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."}}