{"id":"W1867803871","doi":"10.5539/ibr.v8n11p26","title":"Predicting Crises in Turkey Using an Exchange Market Pressure Model and Four-Way Decomposition Analysis of Gross Capital Flows","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Financial crisis; Capital outflow; Foreign exchange; Decomposition; Capital flows; Inflow; Decomposition method (queueing theory); Capital market; Outflow; Capital (architecture); Foreign capital; International economics; Monetary economics; Capital formation; Macroeconomics; Foreign direct investment; Financial capital; Geography; Finance; Mathematics; Market economy; Chemistry","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":[0.0006987253,0.000827406,0.0004584967,0.00130574,0.0001790155,0.0007797386,0.0002811886,0.0004084794,0.0008221493],"category_scores_gemma":[0.001850421,0.0002596569,0.0005915952,0.0006356557,0.0002103507,0.0006761721,0.0005790789,0.0005761879,0.0001914114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006489835,"about_ca_system_score_gemma":0.0005300521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01534294,"about_ca_topic_score_gemma":0.005990245,"domain_scores_codex":[0.9997155,0.0001086022,0.00002416567,0.00005582186,0.00002533908,0.0000705158],"domain_scores_gemma":[0.9993413,0.0002814582,0.0001678866,0.00003303942,0.00009712799,0.00007922511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008797512,0.000354744,0.52027,0.00009382531,0.0003543166,0.0007125879,0.0003316393,0.4248546,0.002290547,0.002898501,0.003051031,0.04390851],"study_design_scores_gemma":[0.0000242102,0.00009889059,0.1317027,0.00001228065,0.00004881546,0.0000600338,0.0002413723,0.8657979,0.0005519492,0.001052629,0.0003867465,0.00002250014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967514,0.00006814382,0.002342713,0.00007305711,0.00000832752,0.000009420716,0.0002229892,0.00003158352,0.0004923707],"genre_scores_gemma":[0.9984241,0.00006554258,0.0009288219,0.000006902672,0.000005432616,0.000008466239,0.0004314888,0.000004096912,0.0001252456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01534294,"threshold_uncertainty_score":0.03050727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1777992669877535,"score_gpt":0.3750776934652889,"score_spread":0.1972784264775353,"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."}}