{"id":"W2553776397","doi":"10.5539/ijef.v8n12p1","title":"Portfolio Investment Flows, GDP, and Investment in Brazil","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Foreign direct investment; Exchange rate; Foreign portfolio investment; Portfolio investment; Volatility (finance); Portfolio; Granger causality; Econometrics; Monetary economics; Capital flows; Investment (military); Financial economics; Macroeconomics; Return on investment; Production (economics); Open-ended investment company; Microeconomics","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":[0.0004439787,0.0001571886,0.0001303182,0.0008690709,0.0001654988,0.0008562992,0.0001248988,0.0001358858,0.0008856673],"category_scores_gemma":[0.002956252,0.0001117852,0.0001985706,0.001327853,0.0002759539,0.0006118994,0.0004888927,0.0003202458,0.00008464194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114566,"about_ca_system_score_gemma":0.0006294618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05065023,"about_ca_topic_score_gemma":0.0419086,"domain_scores_codex":[0.9998939,0.00002232818,0.00001124236,0.00002080592,0.00002823705,0.00002347323],"domain_scores_gemma":[0.9992059,0.0002152272,0.0003832506,0.00003357918,0.0001073074,0.00005480576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004074961,0.00003740522,0.9544219,0.00007989084,0.00008086935,0.0002901323,0.001095652,0.0037502,0.0007885184,0.01402189,0.001166144,0.02422676],"study_design_scores_gemma":[0.000005806277,0.00002278026,0.9850422,0.000080056,0.0000493318,0.0002080412,0.0006963819,0.004881046,0.0003345358,0.003343075,0.005326176,0.00001074177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863589,0.001587341,0.0003923932,0.0009103425,0.000006915544,0.000008773831,0.001194999,0.00001669243,0.009523695],"genre_scores_gemma":[0.9982088,0.0007545368,0.000193126,0.00001834844,0.000003164607,0.000003899864,0.0004408261,0.000002958677,0.0003742022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05065023,"threshold_uncertainty_score":0.1007109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729655403820376,"score_gpt":0.2305352913437032,"score_spread":0.2132387373054994,"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."}}