{"id":"W7046242117","doi":"","title":"Combating Money Laundering and the Financing of Terrorism - A Comprehensive Training Guide : Workbook 7. Investigating Money Laundering and Terrorist Financing","year":2009,"lang":"en","type":"book","venue":"RePEc: Research Papers in Economics","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Money laundering; Terrorism; Workbook; Compliance (psychology); Action plan; Government (linguistics); Plan (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004466821,0.001745954,0.0007926826,0.001614854,0.001255536,0.002630039,0.001167272,0.002271072,0.07047893],"category_scores_gemma":[0.001125251,0.0006429334,0.0006352345,0.001540145,0.0007168708,0.003195735,0.001703415,0.003026235,0.05182212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002221486,"about_ca_system_score_gemma":0.004856014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245002,"about_ca_topic_score_gemma":0.03176431,"domain_scores_codex":[0.9996425,0.0000405715,0.00001873639,0.00004309703,0.0002083783,0.00004672886],"domain_scores_gemma":[0.9992386,0.0002293076,0.00004818481,0.00003596829,0.0003073776,0.0001405499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000659996,0.0001594443,0.00007003936,0.0001729538,0.000001429213,0.000036006,0.0001892595,0.000582889,0.0002907994,0.004672516,0.9050346,0.08878346],"study_design_scores_gemma":[0.000005939568,0.00002993399,0.0007934783,0.0003095611,0.000001614255,0.00007204944,0.0001692396,0.0001920961,0.0001506419,0.00351648,0.9947491,0.00000994663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002468438,0.02640135,0.01209989,0.01987508,0.00698767,0.001863233,0.00416308,0.001625202,0.9245161],"genre_scores_gemma":[0.002650952,0.01826338,0.009516657,0.003933982,0.0007651791,0.0005845163,0.002666494,0.0003084673,0.9613103],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07047893,"threshold_uncertainty_score":0.2357755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05889704744129184,"score_gpt":0.3194543371437002,"score_spread":0.2605572897024083,"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."}}