{"id":"W4386750700","doi":"10.1515/9780228019886-012","title":"11 Organized Crime, Trade-Based Money Laundering, and the Canada–United States Trade Stream","year":2023,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Money laundering; International trade; Business; 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":[0.0003160323,0.0002821696,0.0002260131,0.002138737,0.008717382,0.008153923,0.0007263785,0.001345398,0.0169459],"category_scores_gemma":[0.001566307,0.0001817899,0.0001986433,0.006065497,0.003959932,0.00118912,0.001188538,0.001932299,0.0006533524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04114785,"about_ca_system_score_gemma":0.09385521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842913,"about_ca_topic_score_gemma":0.9949698,"domain_scores_codex":[0.9994337,0.00003874761,0.000008349778,0.00002934876,0.0001857085,0.0003041579],"domain_scores_gemma":[0.9992186,0.0001538217,0.00007007921,0.00001907842,0.0003093573,0.000229157],"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":[0.0000592271,0.00007445368,0.026407,0.0001017415,0.00001493367,0.0003691946,0.01216533,0.001050378,0.000149785,0.5965965,0.2856393,0.07737219],"study_design_scores_gemma":[0.00002567686,0.00002143174,0.1276097,0.0006064362,0.00003774826,0.0001897202,0.04208022,0.002001354,0.0003577069,0.03417569,0.7928395,0.00005474634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1008916,0.01392712,0.000292714,0.03653415,0.0005067079,0.0000548599,0.001395726,0.00004549797,0.8463516],"genre_scores_gemma":[0.6011056,0.01241292,0.0004128405,0.003690437,0.0001955173,0.00003833955,0.0005996308,0.00004691886,0.3814978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04114785,"threshold_uncertainty_score":0.2985499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196842186505936,"score_gpt":0.2122452283394557,"score_spread":0.1925610096888621,"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."}}