{"id":"W2766042507","doi":"10.5539/ibr.v10n12p1","title":"Sub-Saharan African Countries’ Dependence on the External Inflation: Empirical Evidence Using Copulas","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Cape verde; Exchange rate; Inflation (cosmology); Context (archaeology); Developing country; Empirical evidence; International economics; Monetary economics; Geography; Economic growth","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":[0.002943189,0.000548719,0.0008459206,0.001668344,0.0004505423,0.001818654,0.000465102,0.0005611425,0.002881445],"category_scores_gemma":[0.01878744,0.0004254569,0.0008779679,0.003193523,0.0006932549,0.001414229,0.0009503179,0.0008719088,0.0004596011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003158284,"about_ca_system_score_gemma":0.0004087392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005700067,"about_ca_topic_score_gemma":0.002670436,"domain_scores_codex":[0.9988936,0.0006570367,0.000061349,0.00015315,0.0001010042,0.0001339196],"domain_scores_gemma":[0.9801857,0.01395334,0.003787682,0.001017074,0.0006828382,0.0003732264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003499949,0.0002511172,0.8532125,0.0003477694,0.001925628,0.002163375,0.001868587,0.05785983,0.0007886316,0.02135596,0.002680495,0.05719605],"study_design_scores_gemma":[0.00004472682,0.0001933064,0.7464478,0.0002676565,0.0009128175,0.001109522,0.002851808,0.220872,0.0007479748,0.01914103,0.007339964,0.00007126104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845026,0.002734601,0.007522445,0.0005125945,0.00002041899,0.00001404685,0.0002851862,0.00004150327,0.004366518],"genre_scores_gemma":[0.997467,0.001350404,0.0006226468,0.00003229333,0.00002620736,0.000006830198,0.0002147863,0.00001457618,0.0002653185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005700067,"threshold_uncertainty_score":0.01556528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4957941127688417,"score_gpt":0.4235996845332637,"score_spread":0.07219442823557792,"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."}}