{"id":"W1921597522","doi":"10.5539/ijef.v7n9p278","title":"Assessing the Effect of External Debt Servicing and Receipt on Exchange Rate in Nigeria","year":2015,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"External debt; Debt; Exchange rate; Monetary economics; Internal debt; Economics; Loan; Receipt; Order (exchange); Cointegration; Debt levels and flows; Debt-to-GDP ratio; Finance; Business; Accounting; Econometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005889391,0.0001751253,0.0002105389,0.0007377941,0.0002783572,0.0010351,0.0001342753,0.0002508245,0.001293976],"category_scores_gemma":[0.002370071,0.000139064,0.0001900707,0.0009395584,0.0002079644,0.0005596829,0.0004619034,0.0005234104,0.0001954332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141716,"about_ca_system_score_gemma":0.0004128556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009188414,"about_ca_topic_score_gemma":0.01402897,"domain_scores_codex":[0.9997501,0.00005787289,0.00004954226,0.00004069184,0.00004799607,0.00005369351],"domain_scores_gemma":[0.9983601,0.0003950093,0.0008481673,0.00003588948,0.0002024103,0.0001583965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007838137,0.00003567048,0.9927253,0.00003442575,0.00002102524,0.0004574961,0.0005439363,0.0002534903,0.0002585529,0.0002676276,0.0001673872,0.005156736],"study_design_scores_gemma":[0.00000189465,0.00004264863,0.9973361,0.00003676163,0.00001310485,0.0001398627,0.001208854,0.0003615429,0.0001071914,0.00006275487,0.0006849587,0.000004248724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971744,0.0006540498,0.00005678287,0.0001345894,0.00001152058,0.000004482278,0.0001617364,0.000001415313,0.001801025],"genre_scores_gemma":[0.9985994,0.0005628591,0.00005205407,0.00001473413,0.00001033589,0.000003192638,0.0002231335,0.00000104432,0.0005331938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009188414,"threshold_uncertainty_score":0.01826984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03681805438988612,"score_gpt":0.2681221777257329,"score_spread":0.2313041233358468,"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."}}