{"id":"W4318992646","doi":"10.5267/j.ac.2022.12.001","title":"Money laundering conviction rate and capital formation in Nigeria","year":2023,"lang":"en","type":"article","venue":"Accounting","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Money laundering; Conviction; Commission; Language change; Capital (architecture); Legislation; Autonomy; Agency (philosophy); Economics; Law; Business; Political science; Accounting; Monetary economics; Finance; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008090613,0.0001177134,0.0001657547,0.0007555435,0.0004916391,0.001170885,0.0001855218,0.0002590323,0.001146679],"category_scores_gemma":[0.003928667,0.0001045092,0.0001037845,0.0007955222,0.0006536177,0.0005613466,0.000747776,0.0005949558,0.0001204268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113542,"about_ca_system_score_gemma":0.000946135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01423592,"about_ca_topic_score_gemma":0.02135013,"domain_scores_codex":[0.9995922,0.0001061391,0.00005564873,0.00004749346,0.00007604104,0.0001224869],"domain_scores_gemma":[0.9948913,0.001033862,0.00333128,0.00009580355,0.0002896918,0.000358032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006067909,0.0001054352,0.9913706,0.00002362942,0.00001053658,0.0002340116,0.001607995,0.0002860738,0.0001088284,0.001575344,0.0001798533,0.004437145],"study_design_scores_gemma":[0.000002846078,0.00007846964,0.9926808,0.00007708771,0.00001215166,0.0001084961,0.004686624,0.0007421414,0.0002356615,0.0004376666,0.0009306089,0.000007449764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978545,0.0002179469,0.00004253339,0.0001398639,0.000003896592,0.000006506982,0.0000456124,8.425725e-7,0.001688179],"genre_scores_gemma":[0.9995387,0.0001232075,0.00002678083,0.000007559875,0.000002238822,0.000002370536,0.00003409656,2.995728e-7,0.0002647575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01423592,"threshold_uncertainty_score":0.02830613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094333392005576,"score_gpt":0.2767208966150505,"score_spread":0.2557775626949947,"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."}}