{"id":"W4231178192","doi":"10.1007/978-1-4939-7131-2_100383","title":"Financial Fraud Detection","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Business; Finance","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":[0.002331894,0.001571803,0.001033114,0.004645143,0.000812071,0.004324285,0.001874838,0.001912189,0.01540484],"category_scores_gemma":[0.007733895,0.0006147159,0.0007133703,0.003421805,0.0007050779,0.004561952,0.002028233,0.00276577,0.01555284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062833,"about_ca_system_score_gemma":0.0008722919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006919302,"about_ca_topic_score_gemma":0.000883838,"domain_scores_codex":[0.9983155,0.000273303,0.00008135207,0.0003103777,0.0008757014,0.0001437755],"domain_scores_gemma":[0.9974028,0.0007433558,0.000237956,0.0004888322,0.000986006,0.0001409796],"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":[0.00005940507,0.0001230331,0.001670964,0.0001312542,0.00003511165,0.00009363463,0.00006605931,0.001927191,0.00130984,0.02319334,0.1345107,0.8368794],"study_design_scores_gemma":[0.00002596953,0.0001217927,0.005269791,0.0006660991,0.00009570459,0.002557238,0.0002510349,0.1569858,0.02233874,0.2531076,0.5584765,0.0001037127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02072626,0.02517616,0.6822442,0.02012671,0.005532769,0.0004862,0.003560327,0.007535919,0.2346115],"genre_scores_gemma":[0.2724319,0.02128911,0.3782956,0.005188222,0.00530827,0.0003649164,0.008499683,0.001220264,0.307402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01540484,"threshold_uncertainty_score":0.05153435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928327415467247,"score_gpt":0.2312403336348615,"score_spread":0.2119570594801891,"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."}}