{"id":"W4392582586","doi":"10.1016/j.irfa.2024.103174","title":"Cybersecurity data breaches and internal control","year":2024,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Information and Cyber Security","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dismissal; Control (management); Data breach; Business; Internal control; Accounting; Mechanism (biology); Computer security; Internet privacy; Computer science; Law; Audit","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":[0.004055877,0.0004271615,0.0005690188,0.004312636,0.0008380381,0.00585795,0.0009301499,0.002911116,0.003942683],"category_scores_gemma":[0.01548998,0.0002452485,0.000433671,0.004771618,0.006077923,0.005385454,0.001190883,0.003306958,0.0007079057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002810458,"about_ca_system_score_gemma":0.003747446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00436961,"about_ca_topic_score_gemma":0.00400051,"domain_scores_codex":[0.9970822,0.0009639423,0.0001728425,0.0002975891,0.001274786,0.0002086955],"domain_scores_gemma":[0.9773208,0.01268778,0.004106443,0.0009003195,0.004460474,0.000524177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006402141,0.0001084281,0.00791856,0.002258363,0.0001257248,0.0001710546,0.0004142394,0.004040326,0.0004368053,0.4469774,0.0410342,0.4964509],"study_design_scores_gemma":[0.00002622211,0.0001503977,0.02121202,0.009144968,0.0001497956,0.0009074121,0.001906411,0.00672162,0.001038753,0.3768995,0.5817441,0.0000987278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006913884,0.9146023,0.008389052,0.04010088,0.001674988,0.0000147726,0.00006527876,0.00004098507,0.02819788],"genre_scores_gemma":[0.1880066,0.7978078,0.001924852,0.004072748,0.003505759,0.0000189172,0.00009194092,0.00001621571,0.004555086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00585795,"threshold_uncertainty_score":0.02144974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420586608241174,"score_gpt":0.2894759810033377,"score_spread":0.275270114920926,"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."}}