{"id":"W7132841538","doi":"10.5281/zenodo.18812919","title":"Cybersecurity Challenges and Countermeasures in East African Financial Systems","year":2005,"lang":"en","type":"article","venue":"Open MIND","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Audit; Phishing; Data breach; Psychological intervention; Financial Audit; Qualitative property; Government (linguistics); FinTech","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":[0.002282829,0.000404089,0.0003831782,0.001410656,0.00126934,0.001888143,0.0004349467,0.0008473905,0.001413549],"category_scores_gemma":[0.009530404,0.0003340702,0.0003142102,0.001936316,0.001229399,0.002723046,0.001340946,0.0006588713,0.00007606156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001804364,"about_ca_system_score_gemma":0.002141359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01626245,"about_ca_topic_score_gemma":0.01924991,"domain_scores_codex":[0.9984252,0.001011996,0.0000934292,0.000104086,0.0001142633,0.0002510067],"domain_scores_gemma":[0.9949815,0.003428797,0.001060845,0.0001262609,0.0002618153,0.0001408518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007504862,0.0009608564,0.6581535,0.001233055,0.0001957656,0.00409066,0.04641123,0.08625712,0.002379052,0.03256393,0.001100128,0.1659041],"study_design_scores_gemma":[0.0001192098,0.001053631,0.5346354,0.001082077,0.0002022641,0.001251045,0.1714122,0.2537293,0.007677625,0.01860108,0.01010829,0.0001279911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975525,0.000208774,0.0009005587,0.0002328012,0.000002841276,0.0000453944,0.0000222465,0.00000352087,0.00103141],"genre_scores_gemma":[0.9987372,0.000192192,0.0008695695,0.00001537939,0.000001448408,0.00002091998,0.00001274587,7.177562e-7,0.0001498493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01626245,"threshold_uncertainty_score":0.03233558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027829700013104,"score_gpt":0.2609148097896831,"score_spread":0.220636512789552,"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."}}