{"id":"W7132851494","doi":"10.5281/zenodo.18812920","title":"Cybersecurity Challenges and Countermeasures in East African Financial Systems","year":2005,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","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":[0.001626371,0.0003735372,0.0003269179,0.001329388,0.001064281,0.001729869,0.0003583799,0.0007305618,0.001432337],"category_scores_gemma":[0.00626045,0.0002901055,0.0002590888,0.001689245,0.001040127,0.002301195,0.00117683,0.000518175,0.00008035315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532851,"about_ca_system_score_gemma":0.001719371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372413,"about_ca_topic_score_gemma":0.01561282,"domain_scores_codex":[0.9988714,0.0006644764,0.00006390476,0.00007550698,0.00008748077,0.0002371201],"domain_scores_gemma":[0.9971237,0.00176654,0.0007394966,0.00008606617,0.0001789587,0.0001052865],"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":[0.0008034572,0.0008080844,0.6473727,0.001246091,0.0001971644,0.004936537,0.04126269,0.08509968,0.003940154,0.04042877,0.001358255,0.1725465],"study_design_scores_gemma":[0.0001029044,0.000837899,0.5512043,0.001082827,0.0001918161,0.001442315,0.1648893,0.2398261,0.01002624,0.0170362,0.01323729,0.0001227655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973615,0.000231009,0.0009444219,0.0002455143,0.000002971205,0.00003748196,0.00002620413,0.000003734002,0.001147148],"genre_scores_gemma":[0.9988918,0.0002017603,0.0006988323,0.00001470555,0.00000144452,0.0000144274,0.0000133377,8.038529e-7,0.0001628847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372413,"threshold_uncertainty_score":0.0272885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197579532740445,"score_gpt":0.2182860443719589,"score_spread":0.1863102490445545,"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."}}