{"id":"W3087654868","doi":"10.20955/wp.2020.032","title":"Eggs in One Basket: Security and Convenience of Digital Currencies","year":2020,"lang":"en","type":"report","venue":"","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Cryptocurrency; Business; Digital currency; Commerce; Computer security; Computer science; Finance; Payment","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007953928,0.0002222515,0.0008771934,0.0002931679,0.00003004647,0.00006659696,0.0002266702,0.000223181,0.0003281979],"category_scores_gemma":[0.001079948,0.000259227,0.000110249,0.0004406132,0.0002799251,0.0002633236,0.0001705243,0.0002648115,0.00003069002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836396,"about_ca_system_score_gemma":0.0002305386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006404142,"about_ca_topic_score_gemma":0.0001890108,"domain_scores_codex":[0.9977838,0.00001013479,0.001164191,0.0006746869,0.0001366138,0.0002305159],"domain_scores_gemma":[0.9986368,0.0001150521,0.0006966586,0.0003638701,0.0001236753,0.00006391029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005723097,0.0002181484,0.9375831,0.000796897,0.00002653713,0.000001461279,0.001359102,0.000008302814,0.000001245277,0.05789821,0.0003248094,0.001776484],"study_design_scores_gemma":[0.0006465908,0.000200204,0.8046244,0.0002542414,0.00001857802,0.00001384342,0.0002039207,0.003149827,0.00004998457,0.1258902,0.06392325,0.001024925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5690128,0.01291493,0.001339594,0.0006208988,0.0009866332,0.0008014975,0.002124676,0.0000733114,0.4121256],"genre_scores_gemma":[0.9981447,0.001130161,0.0001495391,0.00001026453,0.00006393819,0.000009313503,0.00006468839,0.00001976414,0.0004075869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.429132,"threshold_uncertainty_score":0.999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05655049362044509,"score_gpt":0.2622948245269264,"score_spread":0.2057443309064813,"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."}}