{"id":"W7100299258","doi":"","title":"Copyright © Canadian Academy of Oriental and Occidental Culture The Positive and Negative Role for Banks in Money Laundering Operations","year":2012,"lang":"en","type":"article","venue":"","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Money laundering; Government (linguistics); Terrorism; Legislation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004975022,0.000292123,0.0002921021,0.0008774056,0.005708186,0.00557198,0.0004221787,0.000684534,0.2038486],"category_scores_gemma":[0.001566358,0.0001615635,0.0001681168,0.002170169,0.00258245,0.0009258377,0.001282292,0.0006696354,0.01730272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008200551,"about_ca_system_score_gemma":0.02294135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8625687,"about_ca_topic_score_gemma":0.9214002,"domain_scores_codex":[0.9995982,0.00003200494,0.00002285471,0.00004945764,0.000134458,0.0001631042],"domain_scores_gemma":[0.9987453,0.0001072791,0.00006164631,0.0000750873,0.0007094938,0.0003011764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004876788,0.00003575973,0.01386286,0.0002822649,0.0000149069,0.0002758618,0.004832883,0.00009356911,0.0005171497,0.0396472,0.8199253,0.1204636],"study_design_scores_gemma":[0.000003731016,0.000004004018,0.02317372,0.0001052951,0.000006428213,0.00005521981,0.004163717,0.0000329092,0.0000727206,0.0006956747,0.9716775,0.000009043318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02695329,0.004328202,0.0001462775,0.01778443,0.002242614,0.00003335245,0.002299744,0.0001017777,0.9461104],"genre_scores_gemma":[0.156275,0.007003845,0.0007113909,0.003507723,0.0002634778,0.00004179995,0.001253853,0.00008009974,0.8308628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8625687,"threshold_uncertainty_score":0.6819415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688711313082053,"score_gpt":0.2991542031674708,"score_spread":0.2822670900366502,"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."}}