{"id":"W4404999639","doi":"10.9734/ajrcos/2024/v17i12528","title":"Artificial Intelligence and Information Governance: Strengthening Global Security, through Compliance Frameworks, and Data Security","year":2024,"lang":"en","type":"article","venue":"Asian Journal of Research in Computer Science","topic":"Information and Cyber Security","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"","keywords":"Corporate governance; Information security; Vulnerability (computing); Computer science; Knowledge management; Process management; Business; Computer security; Finance","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":[0.01842866,0.0003421021,0.0003194085,0.003418819,0.002520462,0.008817687,0.0006739194,0.001172176,0.001957899],"category_scores_gemma":[0.03092,0.0001730943,0.0003422241,0.003889543,0.01252247,0.01132253,0.006273279,0.002002969,0.0001857128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005164192,"about_ca_system_score_gemma":0.01001734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003499574,"about_ca_topic_score_gemma":0.004118041,"domain_scores_codex":[0.977573,0.01623963,0.000786644,0.001064281,0.003016567,0.001319917],"domain_scores_gemma":[0.9694511,0.01492978,0.007453944,0.003299051,0.003048613,0.001817503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005254419,0.0001849282,0.08248366,0.0002389325,0.00006983856,0.000141062,0.0131781,0.007074497,0.0005692047,0.7383186,0.002718574,0.15497],"study_design_scores_gemma":[0.00003987937,0.0002739285,0.09399779,0.001649646,0.00007527496,0.0002094632,0.03905914,0.01814411,0.00189319,0.7707654,0.07379774,0.00009448143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6527869,0.005144537,0.06946904,0.08176945,0.0001780493,0.000189244,0.00008121505,0.0001989032,0.1901827],"genre_scores_gemma":[0.9942286,0.0005439385,0.003861673,0.0006822641,0.00002656422,0.00003230909,0.00002031558,0.000009049665,0.0005952283],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01842866,"threshold_uncertainty_score":0.09746128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0971082563661716,"score_gpt":0.4080761515011661,"score_spread":0.3109678951349945,"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."}}