{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002805466,0.00008980003,0.00009555565,0.00007989686,0.0001301512,0.0003393008,0.0003539184,0.00003060811,0.00001515924],"category_scores_gemma":[0.00003093434,0.00007608213,0.00004660077,0.0003195176,0.00003790308,0.0005710099,0.0001687921,0.00007188605,0.00001781493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000893261,"about_ca_system_score_gemma":0.00003452397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001187449,"about_ca_topic_score_gemma":0.000007434131,"domain_scores_codex":[0.9992286,0.00002085285,0.0001312537,0.000344999,0.0000886586,0.0001856184],"domain_scores_gemma":[0.9992672,0.0002787973,0.0000153818,0.0003284545,0.00003559457,0.00007462086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004391833,0.00003050178,0.00007846657,0.00009895189,0.00001698007,0.000005060904,0.0003946852,0.00002669605,0.0007547181,0.9613792,0.01230517,0.02490523],"study_design_scores_gemma":[0.000297225,0.0001205273,0.001251479,0.0001302626,0.00001338835,0.00003538886,0.00003260112,0.7923002,0.001535544,0.1055875,0.09843254,0.0002634108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006936698,0.001409011,0.9954115,0.00130824,0.0002545002,0.000240798,0.000026585,0.0003183077,0.0003374028],"genre_scores_gemma":[0.1664237,0.0001190639,0.8329694,0.0002952686,0.00008197341,0.00003472268,0.00001170281,0.000006109118,0.00005805165],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8557917,"threshold_uncertainty_score":0.3271885,"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."}}