{"id":"W2127242195","doi":"10.5120/8930-3007","title":"Improving Credit Card Fraud Detection using a Meta-Classification Strategy","year":2012,"lang":"en","type":"article","venue":"International Journal of Computer Applications","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Credit card fraud; Credit card; Computer security; Data mining; Artificial intelligence; World Wide Web; Payment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005756471,0.001190206,0.001919654,0.004702912,0.0006843432,0.002843288,0.002162011,0.001196088,0.000662765],"category_scores_gemma":[0.009809577,0.0005983171,0.002024353,0.002668356,0.0004720753,0.003373164,0.001148289,0.001345757,0.0004024958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904137,"about_ca_system_score_gemma":0.001844406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006041016,"about_ca_topic_score_gemma":0.006442454,"domain_scores_codex":[0.9971774,0.001005698,0.0002509534,0.0005599253,0.000784916,0.0002211461],"domain_scores_gemma":[0.9943652,0.002284927,0.0006409957,0.0009367021,0.001627443,0.0001446849],"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":[0.0006818863,0.001125185,0.06004206,0.0002002753,0.001538752,0.0002491171,0.0005462503,0.2951649,0.01842407,0.007013936,0.002708333,0.6123052],"study_design_scores_gemma":[0.00001632636,0.0001008036,0.003032761,0.00002131224,0.0001963332,0.00007097152,0.00007156494,0.98809,0.004591303,0.002943887,0.0008409174,0.00002393747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3076117,0.001511878,0.6831617,0.001060559,0.0001530991,0.0003730547,0.0003993552,0.002164182,0.003564486],"genre_scores_gemma":[0.7626566,0.0002209587,0.2351296,0.0001955436,0.00005134957,0.0001435783,0.0004856566,0.00007385739,0.001042792],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006041016,"threshold_uncertainty_score":0.03044349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0763044949014617,"score_gpt":0.3300077224562295,"score_spread":0.2537032275547678,"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."}}