{"id":"W4406844097","doi":"10.1007/978-3-031-78980-9_8","title":"ITERADE - ITERative Anomaly Detection Ensemble for Credit Card Fraud Detection","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Credit card fraud; Anomaly detection; Credit card; Anomaly (physics); Artificial intelligence; World Wide Web; Physics","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":[0.00283767,0.001493034,0.002671673,0.001705506,0.0009231916,0.001426835,0.002933767,0.001538074,0.002662409],"category_scores_gemma":[0.003682305,0.0007467371,0.001897809,0.001635176,0.0005226189,0.001930961,0.002657549,0.002559148,0.001584486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008153485,"about_ca_system_score_gemma":0.001935209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007984137,"about_ca_topic_score_gemma":0.01131499,"domain_scores_codex":[0.998113,0.0003766979,0.0001203759,0.000482898,0.0005849609,0.0003219948],"domain_scores_gemma":[0.9981471,0.0005400645,0.00008019999,0.0003780885,0.0007460452,0.0001085278],"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":[0.0003311267,0.0003901428,0.005557887,0.00006138696,0.0004045801,0.0001136019,0.0001016084,0.0930794,0.007737757,0.00255568,0.009095456,0.8805714],"study_design_scores_gemma":[0.00001064363,0.00008118337,0.0007479994,0.000005947973,0.00005459451,0.00008380427,0.00002121051,0.9924387,0.003135876,0.002094322,0.001311071,0.00001468206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03631695,0.0007456398,0.9544964,0.0002501922,0.000268748,0.0001032532,0.0002336604,0.006018093,0.001567099],"genre_scores_gemma":[0.4048693,0.0004459369,0.5795675,0.0003806375,0.0002481707,0.0002402239,0.001916266,0.0005589427,0.01177294],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007984137,"threshold_uncertainty_score":0.01587534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650240901908514,"score_gpt":0.2595413413490134,"score_spread":0.2430389323299282,"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."}}