{"id":"W4297129241","doi":"10.1007/978-981-19-5727-7_86","title":"The Detection and Prediction of Financial Frauds","year":2022,"lang":"en","type":"book-chapter","venue":"Applied economics and policy studies","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Finance; Actuarial science; Predictive modelling; Flag (linear algebra); Computer science; Business; Accounting; Machine learning; Mathematics","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":[0.004051514,0.0008448259,0.001058558,0.003517793,0.0003493132,0.002727687,0.001361128,0.001642096,0.001790452],"category_scores_gemma":[0.02059377,0.0005242894,0.0006345175,0.003720087,0.001334899,0.00444264,0.00118456,0.002184607,0.001060478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000879934,"about_ca_system_score_gemma":0.0007658281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001919303,"about_ca_topic_score_gemma":0.001285211,"domain_scores_codex":[0.9981553,0.000636211,0.0001066366,0.0002309002,0.0007545673,0.0001164289],"domain_scores_gemma":[0.9891823,0.008490228,0.000776946,0.0006905317,0.0006938469,0.0001661961],"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":[0.0001623949,0.000200799,0.01948237,0.0002856335,0.0001192566,0.000171897,0.0001982226,0.0555724,0.0008077215,0.07241485,0.03721835,0.8133661],"study_design_scores_gemma":[0.00001979994,0.00008292934,0.008924635,0.0002218667,0.00004149892,0.0005224727,0.0001480051,0.6731766,0.002150249,0.2972099,0.01746358,0.000038374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1157453,0.0602086,0.7671646,0.02076939,0.001982033,0.0001673201,0.002099282,0.001241139,0.03062224],"genre_scores_gemma":[0.7939231,0.02324519,0.1583229,0.0008653882,0.002422846,0.0001284842,0.001782948,0.0001360558,0.01917309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004051514,"threshold_uncertainty_score":0.02142674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647089192305398,"score_gpt":0.2435787891361817,"score_spread":0.2171078972131277,"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."}}