{"id":"W4400990485","doi":"10.69554/ksvn7890","title":"Can central bank digital currencies help advance financial inclusion?","year":2023,"lang":"en","type":"article","venue":"Journal of payments strategy & systems","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Digital currency; Central bank; Financial system; Business; Inclusion (mineral); Economics; Financial services; Monetary economics; Finance; Monetary policy; Payment; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01516208,0.0004286922,0.000414309,0.001735273,0.00683747,0.01679724,0.001558508,0.004106158,0.01284408],"category_scores_gemma":[0.04079689,0.000336306,0.0003705559,0.002802431,0.009435287,0.01885525,0.01100432,0.003839005,0.001835251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004669752,"about_ca_system_score_gemma":0.01135756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00473478,"about_ca_topic_score_gemma":0.007462405,"domain_scores_codex":[0.9900702,0.006271292,0.0004053372,0.0003226773,0.001088314,0.00184232],"domain_scores_gemma":[0.9729239,0.01351795,0.003516677,0.001508567,0.002806385,0.005726499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003173386,0.000664373,0.03586639,0.0009386461,0.0000482158,0.001674532,0.1377831,0.0004304888,0.001028976,0.4214861,0.06452108,0.3352408],"study_design_scores_gemma":[0.0001050006,0.0001948394,0.02265432,0.002603667,0.00006318557,0.000738997,0.2156962,0.0009407055,0.001716834,0.105261,0.6499061,0.0001192614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3560685,0.007700109,0.005780278,0.2944631,0.001244923,0.0002761419,0.000127873,0.0002000411,0.334139],"genre_scores_gemma":[0.9720782,0.003234311,0.003728446,0.01072201,0.0002465126,0.000122504,0.00005322922,0.00003976827,0.009775084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01679724,"threshold_uncertainty_score":0.08018571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792532346516451,"score_gpt":0.2458802289872783,"score_spread":0.2179549055221138,"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."}}