{"id":"W4402103586","doi":"10.30574/wjarr.2024.23.2.2635","title":"Cybersecurity in mobile fintech applications: Addressing the unique challenges of securing user data","year":2024,"lang":"en","type":"article","venue":"World Journal of Advanced Research and Reviews","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Computer security; Internet privacy; Computer science","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":[0.001721901,0.0005043169,0.0004794672,0.001671003,0.0007225014,0.002388807,0.0006442509,0.001927783,0.002611419],"category_scores_gemma":[0.002780118,0.0001772978,0.0003804463,0.00131868,0.001392372,0.004999483,0.001404826,0.001557804,0.0007821953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006564488,"about_ca_system_score_gemma":0.00155123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004990798,"about_ca_topic_score_gemma":0.0007352281,"domain_scores_codex":[0.9988921,0.0003174178,0.00006592137,0.00008729981,0.0005132593,0.000123993],"domain_scores_gemma":[0.9968609,0.002014543,0.0004437213,0.0001785686,0.0004159461,0.00008634699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008578623,0.0001046935,0.003194093,0.009059895,0.00008961216,0.001050581,0.001234059,0.00351202,0.01213025,0.1477184,0.009574746,0.8122458],"study_design_scores_gemma":[0.00002169269,0.0006918341,0.005355232,0.01439125,0.0001502998,0.00677515,0.002923402,0.007058125,0.0243736,0.1046905,0.8334668,0.0001022805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03639567,0.8483446,0.0427434,0.01456529,0.001285804,0.0001502158,0.0000680145,0.0001668842,0.05628016],"genre_scores_gemma":[0.2452493,0.7308174,0.01238217,0.0021905,0.001195952,0.00007933166,0.0001070253,0.0000223485,0.007955861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002611419,"threshold_uncertainty_score":0.009106398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586418283638933,"score_gpt":0.4266414528092295,"score_spread":0.2679996244453362,"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."}}