{"id":"W4311609947","doi":"10.1142/s2010495222500324","title":"The Impact of Macroeconomic Indicators on the Balance of Payments: Empirical Evidence from Afghanistan","year":2022,"lang":"en","type":"article","venue":"Annals of Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exchange rate; Foreign direct investment; Inflation (cosmology); Balance of payments; Economics; Error correction model; Effective exchange rate; Quarter (Canadian coin); Monetary economics; International economics; Econometrics; Macroeconomics; Cointegration","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001671978,0.0002534445,0.0008108356,0.0002184074,0.0003150031,0.00003246135,0.001130406,0.00009011283,0.0009602496],"category_scores_gemma":[0.0004057501,0.0002114469,0.0005955065,0.0001983903,0.0003318269,0.0002299258,0.0002473452,0.0003090279,0.00006448349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001935315,"about_ca_system_score_gemma":0.0001878567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003041985,"about_ca_topic_score_gemma":0.00005798355,"domain_scores_codex":[0.9973776,0.00008170482,0.001620154,0.0004253269,0.00004217318,0.0004530213],"domain_scores_gemma":[0.9959089,0.0009068652,0.002170535,0.0008993443,0.00001888284,0.00009544499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002239011,0.0007377364,0.6789142,0.00005011786,0.000875151,0.000002901843,0.003533856,0.07981266,0.0001179403,0.1812852,0.04540355,0.007027621],"study_design_scores_gemma":[0.001197419,0.002415614,0.7850988,0.00007498448,0.00002715245,0.000004627809,0.0003409678,0.01782271,0.004678575,0.144711,0.04278014,0.0008480307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896842,0.001603934,0.0000212511,0.00226983,0.0003439909,0.0003044136,0.003652839,0.00000693712,0.002112622],"genre_scores_gemma":[0.9969267,0.002016741,0.00002956269,0.000705663,0.0001098847,0.00004068461,0.00002052325,0.00002718855,0.0001230329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1061846,"threshold_uncertainty_score":0.999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1695978779660311,"score_gpt":0.3164971384471973,"score_spread":0.1468992604811662,"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."}}