{"id":"W4385192648","doi":"10.1109/icacite57410.2023.10182880","title":"Cyber Security Fraud Detection Using Machine Learning Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Support vector machine; Artificial intelligence; Perceptron; Machine learning; Payment; European union; Artificial neural network; Revenue; Deep learning; Computer security; Data mining; Business; World Wide Web; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001822079,0.0006705323,0.001185688,0.005597532,0.0006731854,0.002079534,0.001001042,0.00136273,0.001163746],"category_scores_gemma":[0.003771181,0.0002192432,0.0007920532,0.002218672,0.0004053656,0.001190856,0.0006904379,0.0009054565,0.000710901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070393,"about_ca_system_score_gemma":0.001253401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003750286,"about_ca_topic_score_gemma":0.001966046,"domain_scores_codex":[0.9985262,0.0003791239,0.0001364137,0.0002302991,0.0004693003,0.0002586282],"domain_scores_gemma":[0.9979891,0.000711699,0.0003633283,0.0001614178,0.00066042,0.0001141482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004631541,0.001404501,0.0948118,0.000234653,0.0002853702,0.0007644226,0.0001520812,0.2389797,0.004179892,0.006460019,0.009875402,0.6423891],"study_design_scores_gemma":[0.000007029817,0.00005337102,0.003989926,0.00002042603,0.00001464966,0.0001462202,0.00004246522,0.9911606,0.001566699,0.002005145,0.0009818152,0.00001168207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.618302,0.003406078,0.3520391,0.00288804,0.0003802033,0.000618624,0.001395456,0.003192672,0.01777774],"genre_scores_gemma":[0.9586096,0.0004310819,0.03792255,0.0001448469,0.00009672868,0.00007262324,0.0005754008,0.00001165835,0.002135576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005597532,"threshold_uncertainty_score":0.009636223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812325335941708,"score_gpt":0.2433183192581548,"score_spread":0.2251950658987377,"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."}}