{"id":"W628641734","doi":"","title":"A guide to Canadian money laundering legislation","year":2004,"lang":"en","type":"book","venue":"LexisNexis Butterworths eBooks","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Money laundering; Legislation; Business; Political science; Law; Finance","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":[0.0004904964,0.0005754884,0.0006205959,0.0004801515,0.001041145,0.0004094238,0.0007722971,0.0007332678,0.0003178184],"category_scores_gemma":[0.000141443,0.0007034456,0.0002967215,0.0001100703,0.0003356935,0.0002371076,0.0001078903,0.0006858289,0.0003721144],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008357612,"about_ca_system_score_gemma":0.01361584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7806664,"about_ca_topic_score_gemma":0.9705232,"domain_scores_codex":[0.9961822,0.00009043713,0.0005951502,0.000846679,0.001026197,0.001259343],"domain_scores_gemma":[0.9976756,0.0001144709,0.0003433711,0.0007036472,0.0002110469,0.0009518412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005215233,0.00003469977,0.000102997,0.000130387,0.0002371039,0.0003955102,0.1363332,0.0003050181,0.00003928979,0.3564066,0.4359008,0.07006218],"study_design_scores_gemma":[0.0002169556,0.00004474998,0.00006165714,0.0004117446,0.00004301173,0.000004306007,0.0005689081,0.000002463044,0.00004111882,0.01541903,0.9823946,0.0007914898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003651153,0.0001966838,0.0005258041,0.001760877,0.001390515,0.001041899,0.0001637964,0.0002638605,0.9942914],"genre_scores_gemma":[0.01734197,0.00003617844,0.0004736248,0.005113459,0.002657292,0.00008944639,0.00006432852,0.0001388123,0.9740849],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5464938,"threshold_uncertainty_score":0.9995416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416523481020233,"score_gpt":0.2913289564618092,"score_spread":0.2671637216516068,"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."}}