{"id":"W2081637827","doi":"10.1108/joic.2002.3.2.26","title":"Anti‐money laundering (AML) requirements for investment companies emerge as compliance deadlines approach","year":2002,"lang":"en","type":"article","venue":"Journal of Investment Compliance","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Money laundering; Compliance (psychology); Business; Database transaction; Investment (military); Finance; Currency; Investment fund; Accounting; Commerce; Financial system; Economics; Law; Monetary economics; Political science; Market liquidity","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":[0.03087079,0.0004129361,0.0004104731,0.001984978,0.003226929,0.007055724,0.002567945,0.005104434,0.006340255],"category_scores_gemma":[0.1181251,0.0006524585,0.000508789,0.0007263467,0.001795134,0.004571451,0.004230207,0.005152391,0.003110831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002998193,"about_ca_system_score_gemma":0.009322393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005610566,"about_ca_topic_score_gemma":0.007438903,"domain_scores_codex":[0.965557,0.007267853,0.00530769,0.001645063,0.0152289,0.00499357],"domain_scores_gemma":[0.8549158,0.04687897,0.03698925,0.01064172,0.04209764,0.008476602],"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":[0.0008808429,0.001682121,0.07886095,0.0006691527,0.00006005157,0.003767311,0.01412843,0.008795264,0.02731955,0.4095494,0.2019201,0.2523668],"study_design_scores_gemma":[0.0003449122,0.001321417,0.0801125,0.0008445811,0.00007930787,0.002652911,0.008967407,0.03027157,0.02178776,0.0745248,0.7786062,0.0004866557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4846749,0.0008703176,0.07493118,0.05928902,0.00193005,0.003558821,0.001065042,0.006183733,0.3674969],"genre_scores_gemma":[0.9273062,0.0001981273,0.0363766,0.01086414,0.0006300463,0.001090006,0.0005616829,0.0002230695,0.02275003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03087079,"threshold_uncertainty_score":0.1632623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.237255967974603,"score_gpt":0.3654244054302895,"score_spread":0.1281684374556865,"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."}}