{"id":"W2159052488","doi":"","title":"Exchange Rates and Business Cycles Across Countries","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Developing country; Volatility (finance); Business cycle; Economics; Exchange rate; Monetary economics; Macro; Panel data; International economics; Econometrics; Macroeconomics; Economic growth","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":[0.001274204,0.0003167475,0.0005548079,0.003117359,0.000454503,0.003207053,0.0002435375,0.0006421332,0.004394174],"category_scores_gemma":[0.008676617,0.000302085,0.0003729149,0.006708456,0.0007485888,0.002464078,0.001043883,0.0008121267,0.0007792606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005315157,"about_ca_system_score_gemma":0.0003223501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004976742,"about_ca_topic_score_gemma":0.003861564,"domain_scores_codex":[0.9995222,0.0001771277,0.00006050763,0.0001084529,0.00005933538,0.00007235712],"domain_scores_gemma":[0.9961249,0.001167936,0.001694972,0.0002311265,0.0005126743,0.0002683928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001953676,0.0001309378,0.8205798,0.0002394544,0.001605458,0.0009213482,0.002272504,0.02164654,0.001187372,0.08255369,0.01036178,0.05654754],"study_design_scores_gemma":[0.0001073528,0.0001475547,0.9448358,0.0001844772,0.0005058505,0.0003889922,0.001471229,0.004012512,0.0003676522,0.03149569,0.01643102,0.00005185865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646591,0.01122269,0.0009549978,0.002232006,0.0001655173,0.000009544678,0.002657818,0.00005188775,0.01804653],"genre_scores_gemma":[0.9944181,0.002595637,0.0001743365,0.0001019105,0.00009360063,0.000004376966,0.001140732,0.00001327605,0.001457875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004976742,"threshold_uncertainty_score":0.0147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130236966076715,"score_gpt":0.253810443530518,"score_spread":0.2225080738697508,"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."}}