{"id":"W2277414337","doi":"10.5539/ijef.v8n3p178","title":"Drivers of Inflation in the Economy of Bahrain","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Cointegration; Inflation (cosmology); Econometrics; Exchange rate; Variance decomposition of forecast errors; Error correction model; Order (exchange); Mathematics; Monetary economics","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":[0.0002537259,0.0001965875,0.0002084698,0.0005386766,0.0004132411,0.001577577,0.0001852878,0.0003484616,0.001098911],"category_scores_gemma":[0.0006137631,0.0001446349,0.0002645517,0.0007626114,0.0002668895,0.0003582608,0.0005386845,0.000420731,0.000154222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002128501,"about_ca_system_score_gemma":0.0009638425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04062231,"about_ca_topic_score_gemma":0.03048273,"domain_scores_codex":[0.9998227,0.00003237521,0.00001465504,0.00002233494,0.00004165222,0.00006641821],"domain_scores_gemma":[0.9997907,0.00003442612,0.00009317908,0.00000474029,0.00004550107,0.00003136242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003086788,0.0001241396,0.9420856,0.0002151929,0.0001692451,0.002729525,0.003137505,0.003001939,0.006426453,0.01627386,0.002993098,0.02253484],"study_design_scores_gemma":[0.00001280663,0.00006124696,0.9853622,0.00003522804,0.00006491638,0.0003347214,0.002835581,0.004509918,0.0005506545,0.001502728,0.004711401,0.00001861804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936646,0.001111636,0.0001090288,0.001308831,0.00002588833,0.000005661078,0.000159125,0.00001101044,0.003604141],"genre_scores_gemma":[0.9990626,0.0003494341,0.00003663783,0.00005496958,0.00002037849,0.000001842426,0.00007630904,0.000001465478,0.0003964897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04062231,"threshold_uncertainty_score":0.08077168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03766055540732187,"score_gpt":0.2198284810655771,"score_spread":0.1821679256582553,"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."}}