{"id":"W4205995943","doi":"10.22215/etd/2021-14669","title":"A Data-Driven Approach to Evaluate the Security of System Designs","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Attack surface; Leverage (statistics); Computer science; Security testing; Software security assurance; Computer security model; Security information and event management; Computer security; Metric (unit); Security service; Application security; Cloud computing security; Information 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":[0.0009161221,0.0001948415,0.0003100889,0.00009881153,0.0001307439,0.0002330798,0.003204507,0.0001376273,0.00001920198],"category_scores_gemma":[0.00004043206,0.0001312382,0.00008812423,0.0005369508,0.00001234921,0.0004538398,0.0004584545,0.0002290058,0.00007247583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004742244,"about_ca_system_score_gemma":0.0003998959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001074092,"about_ca_topic_score_gemma":0.0002115685,"domain_scores_codex":[0.9979922,0.0002044462,0.0004863856,0.0004169928,0.0007028156,0.0001971344],"domain_scores_gemma":[0.9971324,0.00005449149,0.0001863665,0.002096199,0.000452025,0.00007857416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001570879,0.000125958,0.000003539274,0.001264658,0.0001337636,0.000002737747,0.03954844,0.0002551628,0.00003848213,0.9373403,0.01757043,0.00370081],"study_design_scores_gemma":[0.0003371976,0.00004888624,0.000334777,0.0003120545,0.00009677671,0.00002649725,0.01838874,0.9690495,0.00167434,0.0004271581,0.008774945,0.000529144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004991448,0.0002037427,0.3829172,0.000163731,0.001454296,0.001256371,0.0001320314,0.0002526534,0.6086286],"genre_scores_gemma":[0.9428831,0.00002294494,0.04498766,0.0007663859,0.0001555023,0.0001834147,0.006024648,0.00003036212,0.00494592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9687943,"threshold_uncertainty_score":0.5954824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0622385497292761,"score_gpt":0.3054869151713403,"score_spread":0.2432483654420642,"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."}}