{"id":"W4404366703","doi":"10.24294/jipd8236","title":"Navigating Ghana’s monetary policy evolution and the potential of central bank digital currencies","year":2024,"lang":"en","type":"article","venue":"Journal of Infrastructure Policy and Development","topic":"Economic Growth and Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Savaria (Canada)","funders":"","keywords":"Monetary policy; Digital currency; Central bank; Economics; Financial system; Monetary economics; Business; Currency","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001993114,0.0001465946,0.0001346434,0.0006817972,0.00223835,0.003507563,0.0003599318,0.0008013761,0.003460247],"category_scores_gemma":[0.004330564,0.0001375127,0.00006139867,0.001457807,0.002467954,0.003992481,0.00168726,0.0009978747,0.0001947754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004387682,"about_ca_system_score_gemma":0.004107811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009701817,"about_ca_topic_score_gemma":0.0154454,"domain_scores_codex":[0.9990187,0.0006253889,0.00003372107,0.00005094425,0.00007448947,0.0001968671],"domain_scores_gemma":[0.9980142,0.001067893,0.0004610894,0.00005958061,0.000179069,0.0002180869],"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":[0.0003811884,0.0001986031,0.08237485,0.001240873,0.0000273417,0.01399012,0.3142136,0.002044802,0.006146586,0.3793162,0.01340849,0.1866573],"study_design_scores_gemma":[0.00003792946,0.000134263,0.06388645,0.001702229,0.00002626258,0.001545441,0.5268548,0.001694985,0.001947499,0.03405531,0.3680654,0.00004951083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101331,0.004673281,0.0023759,0.02442527,0.0001436193,0.00006565503,0.0001331527,0.00001642063,0.05803348],"genre_scores_gemma":[0.9953793,0.001498596,0.0008159497,0.000474939,0.00001493404,0.00002078212,0.00001927727,0.000006129146,0.001770005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009701817,"threshold_uncertainty_score":0.03183496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004877669718082593,"score_gpt":0.2227542372939559,"score_spread":0.2178765675758733,"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."}}