{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105771,0.0002318491,0.0002682756,0.0008469283,0.0002813141,0.001152531,0.0001293335,0.0002348918,0.002488483],"category_scores_gemma":[0.007909446,0.0001221201,0.0001534008,0.001563337,0.000689769,0.0007927215,0.0009402928,0.0006737675,0.0001719569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000614907,"about_ca_system_score_gemma":0.0003762223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005850163,"about_ca_topic_score_gemma":0.003244668,"domain_scores_codex":[0.9995239,0.0002010986,0.00003133417,0.00005012087,0.00006219752,0.0001313677],"domain_scores_gemma":[0.9928381,0.001487768,0.004728777,0.0001930321,0.0004144284,0.0003378304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002537407,0.00004666339,0.9586687,0.00007100331,0.0001284137,0.0006171428,0.0005017149,0.008527042,0.0007845802,0.009681881,0.0006934711,0.02002566],"study_design_scores_gemma":[0.00001309081,0.0000752242,0.9850135,0.000071372,0.00004844964,0.0002853135,0.001080279,0.006015939,0.001095209,0.003597491,0.002691641,0.00001237549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946274,0.001017515,0.0006701541,0.0006506594,0.00001076314,0.000004475949,0.0002325227,0.000007533736,0.002778852],"genre_scores_gemma":[0.9995043,0.0002267967,0.00007208873,0.00001497079,0.000006327449,9.631819e-7,0.00004768588,0.000001137283,0.0001257288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005850163,"threshold_uncertainty_score":0.0116322,"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."}}