{"id":"W4296130135","doi":"10.1093/jfr/fjac006","title":"Regulation of Cyber Risk in the Banking System: A Canadian Case Study","year":2022,"lang":"en","type":"article","venue":"Journal of Financial Regulation","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Risk management; Context (archaeology); Hacker; Business; Dynamism; Corporate governance; Computer security; Operational risk; Cyber-attack; Data breach; Risk analysis (engineering); Systemic risk; Financial crisis; Economics; Finance; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002128479,0.0004061429,0.0003593264,0.001918007,0.01457451,0.004729871,0.001758405,0.002523015,0.003392868],"category_scores_gemma":[0.005167417,0.0002457579,0.0003996508,0.004803354,0.005653937,0.0011336,0.002625556,0.002000868,0.0002302791],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07621576,"about_ca_system_score_gemma":0.07037319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9759539,"about_ca_topic_score_gemma":0.9856772,"domain_scores_codex":[0.9968433,0.0007864833,0.00008200684,0.0001757189,0.000982963,0.001129537],"domain_scores_gemma":[0.9956465,0.001163798,0.0003884249,0.0002163542,0.001640909,0.0009438973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006223394,0.001272151,0.2271715,0.0006706709,0.0001374857,0.03720757,0.1441584,0.04568043,0.004368442,0.3559952,0.07144931,0.1112664],"study_design_scores_gemma":[0.0002775879,0.0004294819,0.226247,0.0008406233,0.000218392,0.005946312,0.3848884,0.04261682,0.0023771,0.02514084,0.3105973,0.0004202243],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.881574,0.001273694,0.002701708,0.01157816,0.00006822,0.0003307088,0.0004889869,0.0000452196,0.1019393],"genre_scores_gemma":[0.9912986,0.0009888514,0.001198616,0.0005485039,0.00001246065,0.00003751387,0.00008269436,0.000008476804,0.00582421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9237843,"threshold_uncertainty_score":0.5529866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953750941391373,"score_gpt":0.2137370370873033,"score_spread":0.1941995276733895,"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."}}