{"id":"W1527143149","doi":"10.3138/9781442684614","title":"Money Laundering in Canada: Chasing Dirty and Dangerous Dollars","year":2007,"lang":"en","type":"book","venue":"","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Money laundering; Law enforcement; Law and economics; Cash; Terrorism; Business; Order (exchange); Legislation; Enforcement; Politics; Political science; Law; Economics; Finance","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":[0.0008569898,0.0004491441,0.0003220629,0.00212172,0.01487353,0.008904753,0.001068131,0.001436647,0.00426426],"category_scores_gemma":[0.003270213,0.0002342269,0.0002420839,0.005907156,0.008695599,0.001996494,0.00161798,0.002280059,0.0004063695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1276496,"about_ca_system_score_gemma":0.2225721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945014,"about_ca_topic_score_gemma":0.9980701,"domain_scores_codex":[0.9985546,0.0001237,0.00002248997,0.00009941342,0.0007240606,0.0004756233],"domain_scores_gemma":[0.9985136,0.0002817926,0.00008709754,0.0000547773,0.0006342445,0.0004285051],"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":[0.00003533943,0.00003853719,0.009930287,0.0001727532,0.00001829932,0.000446308,0.02176783,0.0009288436,0.000231979,0.5323923,0.2997888,0.1342488],"study_design_scores_gemma":[0.0000136345,0.00002423925,0.02940917,0.0003527499,0.00003394267,0.0002227133,0.02780496,0.001340666,0.0006016729,0.03428169,0.9058272,0.00008733213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09236144,0.05936743,0.002707418,0.1413946,0.001743604,0.0001134345,0.0009074572,0.0001963295,0.7012084],"genre_scores_gemma":[0.6525909,0.06020581,0.003160213,0.01149106,0.0003326593,0.00007172599,0.0005690877,0.0001237687,0.2714548],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1276496,"threshold_uncertainty_score":0.926167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619146587745997,"score_gpt":0.2596064419328588,"score_spread":0.2334149760553988,"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."}}