{"id":"W3045743149","doi":"10.1016/j.jeca.2018.e00108","title":"Asymmetric effects of monetary policy in the U.S and Brazil","year":2018,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Economics; Monetary policy; Autoregressive model; Taylor rule; Econometrics; Order (exchange); Exchange rate; Monetary economics; Industrial production; Production (economics); Macroeconomics; Central bank; Finance","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":[0.00126891,0.000149342,0.0004506299,0.0009984676,0.0005680537,0.002055243,0.0002951954,0.0006803264,0.00230029],"category_scores_gemma":[0.01018252,0.0001563502,0.0003494846,0.001584736,0.0009922292,0.001261859,0.001334184,0.0008529706,0.0001322693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003250629,"about_ca_system_score_gemma":0.002035639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1173735,"about_ca_topic_score_gemma":0.1183399,"domain_scores_codex":[0.9993229,0.0002100138,0.00006542977,0.000072027,0.0001392136,0.0001904748],"domain_scores_gemma":[0.9974077,0.0009004285,0.0009404507,0.0001498272,0.0004319543,0.0001695349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006732994,0.0001385536,0.5527902,0.0003798653,0.000482277,0.001490204,0.005545923,0.01548837,0.003952633,0.3292843,0.007062234,0.08271211],"study_design_scores_gemma":[0.00009825357,0.00005786461,0.9207458,0.000347385,0.0003977295,0.0002444609,0.004759963,0.01070459,0.001231195,0.04457919,0.01678611,0.0000473587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616333,0.003358951,0.0003545999,0.007420911,0.00003346155,0.00001372696,0.0007454862,0.00001315639,0.02642655],"genre_scores_gemma":[0.9991452,0.0004723871,0.00003486079,0.00008753537,0.00001046152,0.000001770521,0.00004495736,0.000002746057,0.0002001293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1173735,"threshold_uncertainty_score":0.2333807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482460607267952,"score_gpt":0.2444758345791636,"score_spread":0.2196512285064841,"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."}}