{"id":"W3037033628","doi":"10.1111/1911-3838.12220","title":"Cybersecurity Disclosure by the Companies on the S&amp;P/TSX 60 Index","year":2020,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Information and Cyber Security","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Accounting; Proxy (statistics); Business; Corporate governance; XBRL; Index (typography); Computer security; Finance; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00318303,0.0001785389,0.0001799853,0.006228499,0.001226855,0.002915944,0.0005015953,0.0003406183,0.002227313],"category_scores_gemma":[0.02546927,0.0001300546,0.0001811723,0.008448842,0.001031448,0.001029709,0.001634673,0.0005925554,0.0003077883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008074344,"about_ca_system_score_gemma":0.0101659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2521929,"about_ca_topic_score_gemma":0.2236652,"domain_scores_codex":[0.9936184,0.0006312915,0.0004946014,0.0002795556,0.004432864,0.0005433641],"domain_scores_gemma":[0.9448904,0.01202273,0.02380766,0.002080964,0.01451762,0.002680658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001551801,0.00007174884,0.9239281,0.0002022562,0.00003584483,0.0001791693,0.0111775,0.0004301752,0.00206811,0.002844726,0.00925732,0.04964979],"study_design_scores_gemma":[0.000004575473,0.00003254159,0.9704729,0.0001203049,0.00001425459,0.00007224077,0.007064869,0.0005618532,0.00110182,0.0001465683,0.02037982,0.00002808996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786475,0.0002713261,0.0001234904,0.0007761953,0.00002528771,0.00008249166,0.003530826,0.00002878702,0.01651415],"genre_scores_gemma":[0.9932908,0.0003662686,0.0004249998,0.0001239204,0.00003399873,0.00004209243,0.002338554,0.000008685437,0.003370642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7478071,"threshold_uncertainty_score":0.5014499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933984661620487,"score_gpt":0.2404139142608091,"score_spread":0.2210740676446042,"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."}}