{"id":"W4396692413","doi":"10.2139/ssrn.4770513","title":"Compliance Design Options for Offline CBDCs: Balancing Privacy and AML/CFT","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Green IT and Sustainability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Toronto","funders":"Fonds National de la Recherche Luxembourg","keywords":"Compliance (psychology); Internet privacy; Business; Computer science; Computer security; Psychology; Social 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":[0.01841252,0.0007302256,0.0008308736,0.001736614,0.002709401,0.008605474,0.002780029,0.003411232,0.02554116],"category_scores_gemma":[0.03423799,0.0006920307,0.0009933,0.00109218,0.003639302,0.00994928,0.00559745,0.003849264,0.003722931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002491318,"about_ca_system_score_gemma":0.006077145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002346314,"about_ca_topic_score_gemma":0.003537087,"domain_scores_codex":[0.9752207,0.01122351,0.001098002,0.002321261,0.007280381,0.002856123],"domain_scores_gemma":[0.9528857,0.02141203,0.002522049,0.01325356,0.008111512,0.001815135],"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":[0.001084321,0.001392143,0.008869686,0.0006152221,0.0001000179,0.0005211477,0.00337432,0.03149179,0.01417838,0.6146221,0.01178818,0.3119628],"study_design_scores_gemma":[0.0004839753,0.00181757,0.006885563,0.001660081,0.000329151,0.001210413,0.008499168,0.3657822,0.04146699,0.4441332,0.1274899,0.0002416743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09957246,0.0004251375,0.7412109,0.006135739,0.0002005939,0.001123833,0.0003124512,0.001821167,0.1491978],"genre_scores_gemma":[0.8682967,0.0001206911,0.1150181,0.0008730364,0.0000985823,0.0004504903,0.0001815099,0.0002999404,0.01466098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02554116,"threshold_uncertainty_score":0.09737587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182178613994235,"score_gpt":0.2599633697656447,"score_spread":0.2417455083662212,"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."}}