{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023015,0.000130718,0.0001449463,0.00008087948,0.0001472355,0.0001050645,0.0001212932,0.00005302668,0.000009428418],"category_scores_gemma":[0.00005932047,0.0001200489,0.0000707271,0.0001330414,0.00002735434,0.0001910216,0.00001632076,0.0008399995,0.000006580756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006932495,"about_ca_system_score_gemma":0.0004693275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000545762,"about_ca_topic_score_gemma":0.0000494658,"domain_scores_codex":[0.9983323,0.0000257416,0.000201978,0.0001446524,0.00009138163,0.001203978],"domain_scores_gemma":[0.9996292,0.0001134728,0.00001625444,0.0001091795,0.00005874382,0.00007313929],"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":[0.0002035682,0.000140776,0.003888915,0.002247418,0.001479368,0.0000585269,0.002910817,0.05612012,0.009852354,0.4640758,0.005636239,0.4533861],"study_design_scores_gemma":[0.0008210615,0.0003768661,0.001244205,0.0001862208,0.0001022522,0.000760088,0.001185739,0.4584624,0.0004205421,0.5164104,0.01957455,0.0004556214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08567502,0.02181233,0.8910375,0.0005867474,0.0002898375,0.0002767778,0.000004541717,0.0002005465,0.000116689],"genre_scores_gemma":[0.9937235,0.002256427,0.003145451,0.00001348576,0.0002779665,0.00001987194,0.000002849908,0.00003457521,0.0005258481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9080485,"threshold_uncertainty_score":0.4895453,"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."}}