{"id":"W2175707060","doi":"10.1016/j.jimonfin.2016.02.007","title":"Self-oriented monetary policy, global financial markets and excess volatility of international capital flows","year":2016,"lang":"en","type":"article","venue":"Journal of International Money and Finance","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Economic and Social Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Monetary policy; Exchange rate; Monetary economics; Inflation targeting; Exchange-rate regime; Financial intermediary; Policy mix; Financial market; Emerging markets; Depreciation (economics); Volatility (finance); Macroeconomics; Capital formation; Finance; Financial capital; Human capital","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004301511,0.0001683383,0.0004201098,0.0002048704,0.00005659664,0.00003700824,0.0003148144,0.0001152468,0.0000442794],"category_scores_gemma":[0.0005099563,0.0001431566,0.0001394824,0.0001515227,0.000117815,0.00057377,0.0001300871,0.0001166062,0.000006681328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453529,"about_ca_system_score_gemma":0.00007097645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002893524,"about_ca_topic_score_gemma":0.00004012799,"domain_scores_codex":[0.998465,0.00001793487,0.0009472553,0.0002311293,0.0001443231,0.0001943383],"domain_scores_gemma":[0.9985908,0.00006073121,0.0008860044,0.0001216917,0.0002660137,0.00007479715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005287344,0.0002633162,0.564665,0.00003157124,0.0001728685,0.00002416024,0.0005691496,0.0000171082,0.00009343816,0.4228819,0.002101752,0.008651034],"study_design_scores_gemma":[0.001347184,0.000156646,0.84828,0.00009850429,0.000009735916,0.0001001997,0.00002870073,0.0009763801,0.00009718939,0.03864273,0.1100727,0.0001901023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859422,0.003615931,0.001837907,0.003252803,0.001377696,0.00007188126,0.000937276,0.000006890089,0.002957378],"genre_scores_gemma":[0.9896189,0.007587045,0.001968191,0.0001688214,0.0004964889,0.000002446924,0.000003787178,0.000007312161,0.0001469977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3842391,"threshold_uncertainty_score":0.5837757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007494342557785665,"score_gpt":0.2214283233197489,"score_spread":0.2139339807619633,"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."}}