{"id":"W4253928376","doi":"10.15407/eip2020.04.103","title":"Central bank digital currencies: experience of pilot projects and conclusions for the NBU","year":2020,"lang":"en","type":"article","venue":"Ekonomìka ì prognozuvannâ","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital currency; Monetary reform; Financial system; Business; Bank rate; Chinese financial system; Currency; Official cash rate; Payment; Financial intermediary; Open market operation; Economics; Monetary policy; Central bank; Finance; Monetary economics; China; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009263762,0.0001238509,0.0001618378,0.00003033286,0.0002737089,0.00009919842,0.0009227081,0.00005136456,0.000003437978],"category_scores_gemma":[0.0001659872,0.00009042487,0.00004902588,0.0003409233,0.0003510642,0.0002654102,0.0005623724,0.0001309572,0.000002009748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001056916,"about_ca_system_score_gemma":0.00008772623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007973073,"about_ca_topic_score_gemma":0.00000287633,"domain_scores_codex":[0.9989958,0.0000127354,0.0002228613,0.0003777873,0.000112254,0.0002786099],"domain_scores_gemma":[0.9991019,0.0002223091,0.0001068773,0.0003886928,0.00008594033,0.00009424695],"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":[0.00006112335,0.0004497368,0.01684368,0.000130131,0.00007201911,0.000003192524,0.04275727,0.00002809118,0.000907391,0.7168772,0.002985223,0.218885],"study_design_scores_gemma":[0.003825259,0.003982179,0.01412926,0.0001041636,0.00007608371,0.00006598372,0.01214018,0.5107052,0.01988726,0.02009503,0.4135266,0.001462797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2531449,0.001651322,0.7251561,0.01643438,0.0001939643,0.002397275,0.00006377278,0.0003907271,0.0005674831],"genre_scores_gemma":[0.993521,0.00003546161,0.005686623,0.0002929809,0.00004767721,0.0003932959,0.000002985305,0.00000630231,0.00001363909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7403761,"threshold_uncertainty_score":0.3687419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033853740205247,"score_gpt":0.2588057863276372,"score_spread":0.2184672489255847,"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."}}