{"id":"W1488306789","doi":"","title":"Margaret E. Beare and Stephen Schneider, Money laundering in Canada: Chasing dirty and dangerous dollars [Book Review]","year":2008,"lang":"en","type":"article","venue":"ORCA Online Research @Cardiff (Cardiff University)","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Money laundering; Law and economics; Law; Political science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009106837,0.000235511,0.0005887212,0.0003263889,0.001173417,0.00006174052,0.0003838898,0.000135599,0.00004335082],"category_scores_gemma":[0.0006564351,0.0002663563,0.00009626046,0.001018239,0.0007712688,0.0006105527,0.0004520997,0.0006993577,0.000002248333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002083157,"about_ca_system_score_gemma":0.002492696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7430498,"about_ca_topic_score_gemma":0.7975588,"domain_scores_codex":[0.9961616,0.0007417602,0.0002222284,0.0006010336,0.00127415,0.0009991591],"domain_scores_gemma":[0.9983395,0.0004263517,0.00009291993,0.0003615928,0.0002311984,0.0005483977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009680575,0.0008955188,0.4206325,0.004214376,0.00127081,0.01749365,0.06412381,0.0001797706,0.001010151,0.006503568,0.3254871,0.1572207],"study_design_scores_gemma":[0.0009049322,0.00005118813,0.04143498,0.0007683272,0.00003755808,0.00003588926,0.02254434,0.00004690365,0.0000224866,0.000044533,0.933665,0.0004438347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995352,0.07065663,0.00003286686,0.003708073,0.0001673897,0.0009678709,0.0002776913,0.00007664639,0.02457763],"genre_scores_gemma":[0.6046416,0.3815814,0.000228559,0.0005443929,0.0003338919,0.000004438353,0.00003703019,0.00004982971,0.01257895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6081779,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06833097438782491,"score_gpt":0.3040979774358063,"score_spread":0.2357670030479814,"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."}}