{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000750122,0.0002799248,0.000775794,0.0004319866,0.0004641237,0.0002259569,0.0005413464,0.0001741265,0.00005619362],"category_scores_gemma":[0.0001587058,0.0002727386,0.0002737203,0.0007202282,0.0000686488,0.0008305372,0.0003864091,0.0003607579,0.0002956331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003095224,"about_ca_system_score_gemma":0.0002105154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568888,"about_ca_topic_score_gemma":0.00002706496,"domain_scores_codex":[0.9970579,0.00002565818,0.001683579,0.0003359257,0.0002134921,0.0006834978],"domain_scores_gemma":[0.9978701,0.00003993753,0.001474391,0.0002668218,0.0001524777,0.0001962627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005595271,0.001647987,0.4447469,0.001006738,0.0004315331,0.001820621,0.01118061,0.01003044,0.006809615,0.3710395,0.1123358,0.03839071],"study_design_scores_gemma":[0.005265311,0.00196714,0.1719654,0.001237329,0.00004947399,0.0003634443,0.002542753,0.002311705,0.0009972121,0.0774412,0.7338549,0.002004154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767871,0.00906944,0.001138889,0.0004712057,0.005873904,0.0003527478,0.0007264896,0.0000565738,0.005523575],"genre_scores_gemma":[0.9951529,0.001478068,0.00002439805,0.00005849115,0.000959884,0.000008938988,0.00003345718,0.00003220989,0.002251672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.621519,"threshold_uncertainty_score":0.9999725,"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."}}