{"id":"W2462116092","doi":"","title":"Making trade-offs among security and other requirements during system design","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Risk analysis (engineering); Computer security; Security testing; Threat model; Computer science; Viewpoints; Software security assurance; Security through obscurity; Security information and event management; Security service; Cloud computing security; Business; Information security","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":[0.0009439437,0.000255785,0.0003579924,0.0002454989,0.0002580844,0.000343306,0.0006934794,0.0002603365,0.00004003783],"category_scores_gemma":[0.0000531276,0.0002232261,0.0001214301,0.0003644618,0.00003506322,0.0005156866,0.0001186526,0.0003098143,0.00002229168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441532,"about_ca_system_score_gemma":0.00005957464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001527247,"about_ca_topic_score_gemma":0.00008929164,"domain_scores_codex":[0.99761,0.0002711649,0.0003761898,0.0006064168,0.000673418,0.0004627858],"domain_scores_gemma":[0.9989163,0.000139917,0.0001695142,0.0005757063,0.00005728428,0.0001412398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004775981,0.001593544,0.66142,0.03612512,0.003657406,0.0003371169,0.08968382,0.0003613709,0.008515619,0.07197757,0.001442773,0.1244081],"study_design_scores_gemma":[0.002516213,0.0002717457,0.7671055,0.007000799,0.0005910527,0.00009719656,0.01048965,0.1711211,0.03076887,0.003781735,0.001541899,0.00471426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7938749,0.001986861,0.1844998,0.00006073971,0.0008140708,0.00122104,0.000004399415,0.0009464756,0.01659178],"genre_scores_gemma":[0.9957125,0.00001548032,0.003050951,0.00001355327,0.00009389452,0.00004347384,0.000006479821,0.00002316495,0.00104055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2018376,"threshold_uncertainty_score":0.9102895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05915873302006781,"score_gpt":0.3277577736487615,"score_spread":0.2685990406286937,"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."}}