{"id":"W3168450887","doi":"10.1109/rdaaps48126.2021.9452029","title":"Leveraging External Data Sources to Enhance Secure System Design","year":2021,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer security; Threat model; Process (computing); Security testing; Software security assurance; Software; Security bug; Security information and event management; Information security; Security service; Cloud computing security; Cloud computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03725475,0.001773927,0.001126389,0.007396629,0.001220925,0.009638317,0.002447913,0.001923759,0.003765317],"category_scores_gemma":[0.1298224,0.001412061,0.001622141,0.004282911,0.002935386,0.01669142,0.008437991,0.004047962,0.001250283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001933508,"about_ca_system_score_gemma":0.003521679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001911333,"about_ca_topic_score_gemma":0.002767646,"domain_scores_codex":[0.9495291,0.02803476,0.004645257,0.003505145,0.01359665,0.0006891332],"domain_scores_gemma":[0.8109969,0.1125237,0.01151988,0.0480093,0.01601068,0.0009393845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006700841,0.001034942,0.02719373,0.003438421,0.0004300294,0.00437258,0.02059268,0.08655422,0.02799361,0.2159677,0.01080051,0.6009516],"study_design_scores_gemma":[0.0002495109,0.0006179866,0.008346936,0.002558317,0.0003841714,0.001731936,0.005119384,0.4306537,0.09385411,0.2739873,0.1820806,0.0004160928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02466385,0.0003652245,0.9535851,0.00243013,0.00009737345,0.0006833607,0.001631975,0.003838649,0.01270438],"genre_scores_gemma":[0.2388571,0.00064416,0.7523984,0.0003408482,0.00006906923,0.0007021147,0.003919038,0.001169013,0.001900253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03725475,"threshold_uncertainty_score":0.1970243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03676326961055824,"score_gpt":0.2736289193822286,"score_spread":0.2368656497716703,"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."}}