{"id":"W4391053378","doi":"10.1002/ijfe.2935","title":"Exchange rate misalignment and financial development in Africa","year":2024,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Economic Growth and Development","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Quantile regression; Economics; Exchange rate; Robustness (evolution); Quantile; Financial market; Estimator; Monetary economics; Econometrics; Finance; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005685129,0.00009624878,0.0001516006,0.0002756654,0.00002023947,0.0002000312,0.0005191709,0.00003754821,0.00001136129],"category_scores_gemma":[0.00002518726,0.00009820786,0.00004078199,0.00005838509,0.00001867833,0.0005818035,0.0001562706,0.0001152069,0.00002497746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003460117,"about_ca_system_score_gemma":0.0004636166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003027581,"about_ca_topic_score_gemma":0.00001919916,"domain_scores_codex":[0.9990508,0.00001327386,0.0005190135,0.0001882108,0.00007013918,0.0001585766],"domain_scores_gemma":[0.9996154,0.00006005935,0.0001460489,0.00007330745,0.00005519982,0.00004993963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009128374,0.0001478361,0.003912826,0.00004737738,0.0001259378,0.0007805245,0.0116446,0.00104939,0.0001276274,0.2526212,0.007848423,0.721603],"study_design_scores_gemma":[0.0009996518,0.00008165964,0.04457717,0.0002874143,0.000003203417,0.0002896331,0.00003100954,0.01272016,0.002651938,0.0296104,0.9084148,0.0003329075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644405,0.003650699,0.02296852,0.003340825,0.003782406,0.00007641297,0.000004198847,0.00001486877,0.001721614],"genre_scores_gemma":[0.9746332,0.00205403,0.02251913,0.0003646685,0.0001821637,0.000006761319,8.049234e-7,0.000006251194,0.0002329786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9005664,"threshold_uncertainty_score":0.40048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462423818023519,"score_gpt":0.2165322448821401,"score_spread":0.2019080067019049,"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."}}