{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009479413,0.0001026817,0.0001759327,0.0002880513,0.00009946335,0.0005011647,0.0002845872,0.00009616774,0.000007586043],"category_scores_gemma":[0.0001154235,0.00008916426,0.00005602374,0.0001619709,0.00002366979,0.0014936,0.0001008188,0.0002863581,0.000007020801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005597851,"about_ca_system_score_gemma":0.00004592026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001010714,"about_ca_topic_score_gemma":0.000005571161,"domain_scores_codex":[0.9987701,0.00009067643,0.0004103984,0.0001323182,0.0004858996,0.0001105844],"domain_scores_gemma":[0.9987444,0.00007419107,0.0004117275,0.00009879538,0.0005859053,0.00008495042],"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":[0.00080034,0.0007036137,0.06273711,0.001951812,0.001597057,0.0002489597,0.1367898,0.001172515,0.001740455,0.558767,0.001213466,0.232278],"study_design_scores_gemma":[0.01446419,0.00427358,0.02184649,0.002722865,0.0001490625,0.02172626,0.01238724,0.2778326,0.005416544,0.4461662,0.1899356,0.003079344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3950394,0.001273598,0.5998557,0.0003370641,0.002830152,0.0002619614,0.000004992748,0.00004801804,0.0003491361],"genre_scores_gemma":[0.9977896,0.0001490086,0.001759754,0.00009539527,0.0001774245,0.000003361939,8.751765e-7,0.000003761073,0.00002085301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6027501,"threshold_uncertainty_score":0.4832743,"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."}}