{"id":"W7133654160","doi":"10.5937/bankarstvo2601178d","title":"AML beyond compliance: A case-based, cost-efficient approach for modern banks","year":2025,"lang":"en","type":"article","venue":"Bankarstvo","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Money laundering; Compliance (psychology); Scale (ratio); Modularity (biology); Excellence; Limiting","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":[0.006942046,0.0008173855,0.0004955659,0.004406838,0.003386703,0.01020787,0.002936903,0.003578088,0.01281971],"category_scores_gemma":[0.01105387,0.0004818499,0.0007645156,0.002039493,0.007406063,0.009319292,0.008311883,0.00251337,0.001604053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006140033,"about_ca_system_score_gemma":0.00508478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002809307,"about_ca_topic_score_gemma":0.005470945,"domain_scores_codex":[0.9928827,0.004681688,0.0003319433,0.0004533053,0.001314855,0.0003353501],"domain_scores_gemma":[0.9937986,0.003114329,0.0005994863,0.001197974,0.0007855971,0.000504069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004232234,0.0002417605,0.00293313,0.0002115467,0.00001865625,0.001289624,0.005739434,0.007845659,0.001274534,0.8509498,0.009750508,0.119703],"study_design_scores_gemma":[0.00004720459,0.0001627629,0.002227972,0.000867552,0.00005908215,0.002866253,0.02144337,0.06309424,0.003011627,0.6883376,0.2178021,0.00008024275],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05097802,0.001313374,0.6667611,0.03870948,0.0003459224,0.0009431824,0.0002089491,0.001266934,0.2394731],"genre_scores_gemma":[0.4071076,0.001219572,0.5633048,0.0009511771,0.0001354403,0.0004194384,0.0001631949,0.0001396929,0.02655914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01281971,"threshold_uncertainty_score":0.04454929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06453004791780834,"score_gpt":0.3468582754373944,"score_spread":0.2823282275195861,"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."}}