{"id":"W3116910065","doi":"10.1109/isncc49221.2020.9297330","title":"Information security risk assessment based on decomposition probability via Bayesian Network","year":2020,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Bayesian network; Risk assessment; Frame (networking); Risk analysis (engineering); Decomposition; Factor analysis of information risk; Information system; Interval (graph theory); Information security; Data mining; Point (geometry); Bayesian probability; Risk management information systems; Computer security; Artificial intelligence; Engineering; Management information systems","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":[0.002708297,0.0009114536,0.001099817,0.002903054,0.0005908647,0.002145784,0.001072584,0.0009915422,0.002542145],"category_scores_gemma":[0.008954883,0.0007585215,0.00124353,0.001527787,0.001114456,0.00337243,0.001415308,0.001386248,0.0003256696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950845,"about_ca_system_score_gemma":0.001293426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009292152,"about_ca_topic_score_gemma":0.004781365,"domain_scores_codex":[0.99815,0.0008635371,0.00007808594,0.0003131407,0.0004631032,0.0001321807],"domain_scores_gemma":[0.9969712,0.002126039,0.0003356838,0.00009787551,0.0003705098,0.00009863272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007161608,0.00003229702,0.002632027,0.0000848029,0.0000912604,0.0001063782,0.0001155194,0.9027327,0.0006446037,0.06162187,0.0009615556,0.03090542],"study_design_scores_gemma":[0.00000357677,0.000008862726,0.0003890299,0.00001506405,0.0000153091,0.00002337268,0.00001181946,0.9713851,0.0001088107,0.02773249,0.0002957288,0.00001091124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01806552,0.0004940325,0.9776199,0.0003032179,0.00001921566,0.00004675147,0.0001051773,0.000132217,0.003213876],"genre_scores_gemma":[0.8262867,0.002230154,0.1662323,0.000102173,0.0001209291,0.0002804848,0.000450761,0.0000696251,0.004226806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009292152,"threshold_uncertainty_score":0.01847613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006893759933330054,"score_gpt":0.2385969507651517,"score_spread":0.2317031908318217,"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."}}