{"id":"W3125369824","doi":"","title":"Money Laundering Impacts: Recovering Wealth, Piercing Secrecy, Disrupting Tax Havens and Distorting International Law","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Money laundering; Language change; Terrorism; Business; Drug trafficking; Organised crime; Secrecy; Tax evasion; Financial services; Political science; International trade; Law and economics; Economic policy; Law; Finance; Economics; Public economics; Criminology","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":[0.0007318189,0.0002340842,0.0002619125,0.001116266,0.00328743,0.008542242,0.0005524508,0.002599334,0.00481687],"category_scores_gemma":[0.002404828,0.0001551724,0.0002045527,0.001293803,0.01745524,0.00432013,0.004533069,0.003047061,0.0002640767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004001638,"about_ca_system_score_gemma":0.002286267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005697927,"about_ca_topic_score_gemma":0.008485026,"domain_scores_codex":[0.9989933,0.0003337751,0.00002533145,0.00008704469,0.0002175815,0.0003429214],"domain_scores_gemma":[0.9987738,0.0005203472,0.0004139537,0.0001020132,0.00009995826,0.00008987406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001700192,0.00001772992,0.001875442,0.00004672957,0.00000575851,0.0003136047,0.004511188,0.0006921589,0.0001079549,0.9791639,0.003843914,0.009404594],"study_design_scores_gemma":[0.00002567261,0.00008400965,0.0209124,0.001167051,0.00004838418,0.0007273734,0.03028109,0.001811946,0.00160347,0.7263133,0.2169493,0.00007594555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2619104,0.0105257,0.003602963,0.02946651,0.0002900934,0.00004304511,0.0000898431,0.00004417812,0.6940274],"genre_scores_gemma":[0.9818681,0.005231121,0.0003315512,0.001851173,0.0001386929,0.0000165737,0.00001752068,0.00001714836,0.01052815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008542242,"threshold_uncertainty_score":0.02903402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125355810078979,"score_gpt":0.2765277954505329,"score_spread":0.2652742373497431,"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."}}