{"id":"W4392104741","doi":"10.1057/s41310-024-00226-7","title":"How the three lines of defense can contribute to public firms’ cybersecurity effectiveness","year":2024,"lang":"en","type":"article","venue":"International Journal of Disclosure and Governance","topic":"Information and Cyber Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Autorité des Marchés Financiers","keywords":"Business; Computer security; Public finance; Corporate governance; Corporate finance; Public relations; Political science; Computer science; Finance; Law","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":[0.0005986483,0.0001003276,0.0001592503,0.00006491317,0.00004836915,0.0005172552,0.0008279242,0.00003608969,0.000004324653],"category_scores_gemma":[0.0002290473,0.00006224609,0.0001195861,0.0002016074,0.0000525865,0.0009461536,0.0001662023,0.0001842047,0.000002087705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000539755,"about_ca_system_score_gemma":0.0001315205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004748653,"about_ca_topic_score_gemma":0.0003357764,"domain_scores_codex":[0.9988214,0.00005317565,0.0002829724,0.0001123472,0.000609541,0.0001205659],"domain_scores_gemma":[0.9987038,0.0002143479,0.0002547854,0.0001436089,0.000606831,0.00007665356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006657089,0.00006690472,0.01279584,0.00006007164,0.0003092103,0.00008834034,0.00296606,0.00004256225,0.0002228044,0.9355353,0.003245257,0.04460105],"study_design_scores_gemma":[0.002177803,0.0005638059,0.6026816,0.001395915,0.00007305539,0.001524067,0.0003021145,0.007842647,0.00597477,0.06274994,0.3141412,0.0005730423],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7243806,0.003688226,0.1558487,0.1114753,0.003476133,0.0002176593,0.000187212,0.00003098803,0.0006952898],"genre_scores_gemma":[0.9988736,0.0001615024,0.0002866418,0.0004088514,0.0002072153,0.000003136021,0.000001197528,0.00000372068,0.00005417213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8727854,"threshold_uncertainty_score":0.4987904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067786397516728,"score_gpt":0.2430069905511438,"score_spread":0.2323291265759765,"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."}}