{"id":"W4401719239","doi":"10.1109/icbc59979.2024.10634398","title":"Compliance Design Options for Offline CBDCs: Balancing Privacy and AML/CFT","year":2024,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Compliance (psychology); Computer science; Internet privacy; Computer security; Business; Psychology","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":[0.01883572,0.0006933718,0.0005014344,0.001433991,0.001477484,0.007374997,0.001429719,0.002569684,0.005938099],"category_scores_gemma":[0.02859738,0.0004680028,0.0007859254,0.0009506512,0.004033633,0.007654178,0.003649631,0.002659841,0.001101791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002978379,"about_ca_system_score_gemma":0.003304377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005028196,"about_ca_topic_score_gemma":0.0005567531,"domain_scores_codex":[0.9666048,0.01816863,0.001557887,0.002168921,0.009296795,0.002202974],"domain_scores_gemma":[0.9624684,0.01692561,0.005548937,0.009315809,0.004858856,0.0008823808],"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":[0.0007788925,0.0007608589,0.009400252,0.0006401205,0.000100243,0.0004104377,0.001881432,0.02228196,0.02404165,0.7057741,0.003022117,0.230908],"study_design_scores_gemma":[0.0007819945,0.006245274,0.01056949,0.002190001,0.0004471791,0.003057393,0.006546601,0.1699146,0.1846094,0.4810145,0.1342414,0.0003821657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2651269,0.0007307191,0.6039286,0.003767357,0.0001444792,0.002020248,0.0002483875,0.0009214121,0.123112],"genre_scores_gemma":[0.8381225,0.0002219432,0.1544506,0.0005610884,0.00004365689,0.0007228415,0.0001042084,0.000126032,0.005647157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01883572,"threshold_uncertainty_score":0.09961402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06747304434129542,"score_gpt":0.3106402041619519,"score_spread":0.2431671598206565,"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."}}