{"id":"W7135878425","doi":"","title":"\"Anti-Money Laundering in Russia\"","year":2008,"lang":"en","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"","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":[0.001288667,0.000100914,0.0002591111,0.0007748614,0.002542588,0.003276736,0.0003391021,0.001475195,0.001274082],"category_scores_gemma":[0.003953169,0.0001340428,0.0001903175,0.0007641988,0.002112775,0.000837157,0.001596411,0.001356335,0.0001574537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002079427,"about_ca_system_score_gemma":0.002249461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01702001,"about_ca_topic_score_gemma":0.02422849,"domain_scores_codex":[0.9988616,0.0004491806,0.00004488862,0.00008689661,0.0001477431,0.000409674],"domain_scores_gemma":[0.9980287,0.0005547123,0.0008461539,0.0001173452,0.0002122079,0.0002408068],"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":[0.0008571703,0.0002500161,0.3446788,0.0003301953,0.0001722826,0.001318379,0.05386896,0.001570455,0.003539644,0.5223127,0.02020849,0.05089298],"study_design_scores_gemma":[0.00005095966,0.0001248103,0.8811754,0.0002532841,0.0001187471,0.0005118276,0.0237214,0.002013506,0.003130211,0.02272616,0.06612863,0.00004506934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559537,0.0009748223,0.0002222376,0.007821583,0.00009124939,0.000004986737,0.00007401181,0.000007307184,0.03485016],"genre_scores_gemma":[0.9982404,0.0001365858,0.0000201878,0.0001469217,0.00001846629,0.000001683071,0.00001619004,0.000001444983,0.001418166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01702001,"threshold_uncertainty_score":0.03384191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0908353527367277,"score_gpt":0.3084004088298514,"score_spread":0.2175650560931237,"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."}}