{"id":"W2081389704","doi":"10.1108/13590790910971766","title":"Uncertainties collide: lawyers and money laundering, terrorist finance regulation","year":2009,"lang":"en","type":"article","venue":"Journal of Financial Crime","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Money laundering; Scholarship; Context (archaeology); Terrorism; Criminal law; Originality; Order (exchange); Law; Value (mathematics); Political science; Economics; Law and economics; Business; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005406207,0.0002925048,0.0003142429,0.001834478,0.007607471,0.01067931,0.000915172,0.004231097,0.009157396],"category_scores_gemma":[0.02706093,0.0002414981,0.0002432484,0.001774849,0.018816,0.003696102,0.003678014,0.002883612,0.000273866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02934728,"about_ca_system_score_gemma":0.04306642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.372847,"about_ca_topic_score_gemma":0.441556,"domain_scores_codex":[0.9946123,0.001482202,0.0001273918,0.0004792522,0.001841863,0.001457049],"domain_scores_gemma":[0.9761757,0.01212665,0.006635066,0.0004329987,0.003134429,0.001495196],"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":[0.00007508706,0.00005487795,0.03247764,0.00009245974,0.00003755536,0.0004975356,0.0100585,0.003734522,0.000194235,0.9194362,0.007487726,0.02585365],"study_design_scores_gemma":[0.00005102006,0.0001021537,0.1083534,0.0007625446,0.0001486006,0.000280561,0.04972138,0.006404493,0.001158699,0.7135057,0.1193201,0.0001913122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3330109,0.007353755,0.01176153,0.1281765,0.0001995686,0.000129796,0.0002281061,0.00006377769,0.519076],"genre_scores_gemma":[0.9953117,0.0004519835,0.0002232186,0.001206808,0.00004071453,0.000008968599,0.000007285407,0.000002518927,0.002746853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.372847,"threshold_uncertainty_score":0.7413535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871929050604691,"score_gpt":0.2868501273465246,"score_spread":0.2681308368404777,"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."}}