{"id":"W4362514960","doi":"10.2139/ssrn.4394190","title":"Money Laundering and the Privacy Design of Central Bank Digital Currency","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Development","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Money laundering; Digital currency; Business; Virtual currency; Currency; Electronic money; Internet privacy; Computer security; Financial system; Commerce; Finance; Payment; Computer science; Monetary economics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01298711,0.0005918124,0.001072243,0.001065785,0.001649368,0.009765308,0.001944541,0.002581281,0.006980048],"category_scores_gemma":[0.06322685,0.0009006384,0.000621951,0.000923856,0.004397125,0.009973221,0.003291921,0.00260268,0.001087374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002088567,"about_ca_system_score_gemma":0.002546823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007645,"about_ca_topic_score_gemma":0.0007124718,"domain_scores_codex":[0.9876002,0.007699557,0.0007242493,0.001293281,0.001905259,0.0007774163],"domain_scores_gemma":[0.947026,0.03181099,0.004145547,0.01085741,0.005246199,0.0009138457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002026446,0.0002430192,0.005734772,0.0003558903,0.0001290886,0.0005326956,0.002175834,0.08436631,0.009016313,0.782599,0.004450176,0.1083704],"study_design_scores_gemma":[0.0001729596,0.0002773116,0.0009337883,0.0001152434,0.0001065832,0.0004806471,0.0007340924,0.4675119,0.01786255,0.5018844,0.009849041,0.00007151592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1934969,0.00167243,0.7586018,0.007926529,0.0003422798,0.0003353875,0.0002094538,0.001118319,0.03629685],"genre_scores_gemma":[0.9659046,0.0002428691,0.02971675,0.0002725156,0.00008584887,0.00007083839,0.00005514843,0.00006919445,0.003582181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01298711,"threshold_uncertainty_score":0.06868321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309838307329471,"score_gpt":0.2066237877734312,"score_spread":0.1935254047001365,"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."}}