{"id":"W4388440427","doi":"10.1016/j.jeconc.2023.100036","title":"The variability and clustering of Financial Intelligence Units (FIUs) – A comparative analysis of national models of FIUs in selected western and eastern (post-Soviet) countries","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Criminology","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Law enforcement; Corporate governance; Political science; Enforcement; Legislature; Restructuring; Accounting; Economy; Business; Regional science; Geography; Economics; Law; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001490261,0.0001268863,0.0002155898,0.002597993,0.000940028,0.002197401,0.0004083145,0.0001714898,0.001172155],"category_scores_gemma":[0.003092536,0.0001284249,0.0002209177,0.0037894,0.001622741,0.001285646,0.001506636,0.0002437341,0.0001327973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817053,"about_ca_system_score_gemma":0.0009290649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0271045,"about_ca_topic_score_gemma":0.02724783,"domain_scores_codex":[0.9990668,0.0003032893,0.00007527655,0.000169739,0.0001579306,0.0002270089],"domain_scores_gemma":[0.9980324,0.0004631809,0.0007646864,0.0002551658,0.0002976066,0.0001870789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008739279,0.00002667318,0.9558469,0.00002246296,0.00007185596,0.0001441211,0.0139371,0.001483924,0.000227055,0.01338056,0.0003811271,0.01439092],"study_design_scores_gemma":[0.000003786318,0.00002688346,0.9731911,0.00003220213,0.00001369286,0.00006885601,0.02157926,0.001855516,0.0001146383,0.001192974,0.001911037,0.00000988995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996564,0.00005751465,0.0002582184,0.0000229921,0.000001135253,0.000004767066,0.00007652879,0.000002439548,0.003012423],"genre_scores_gemma":[0.9995863,0.00003086722,0.00009524019,0.00000241181,4.721192e-7,0.0000032294,0.0001400914,0.000001586006,0.000139834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0271045,"threshold_uncertainty_score":0.05389345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1265290227493976,"score_gpt":0.3464686717845468,"score_spread":0.2199396490351491,"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."}}