{"id":"W3124873618","doi":"","title":"The Experience with Macro-Prudential Policies of the Central Bank of the Republic of Turkey in Response to the Global Financial Crisis","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial crisis; Financial system; Market liquidity; Financial sector; Business; Central bank; Monetary policy; Quarter (Canadian coin); Financial regulation; Macro; Global financial system; Economic policy; Economics; Finance; Geography; Monetary economics; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002495955,0.0003968657,0.0002578758,0.0003587228,0.001647689,0.003698083,0.0006155064,0.001426807,0.001666303],"category_scores_gemma":[0.002370054,0.0002363728,0.0001464849,0.001036747,0.001685116,0.001283413,0.001436918,0.001529708,0.0004699456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005106936,"about_ca_system_score_gemma":0.003776748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02646857,"about_ca_topic_score_gemma":0.03217065,"domain_scores_codex":[0.9986914,0.0005305855,0.00007390319,0.0001031156,0.0001340455,0.0004669919],"domain_scores_gemma":[0.9990137,0.0001566112,0.0002495266,0.00005035019,0.0002903949,0.0002394731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002773246,0.0005230034,0.1827704,0.001590859,0.0001946487,0.02429137,0.1813045,0.01921388,0.01237793,0.1984558,0.1698743,0.2066301],"study_design_scores_gemma":[0.0001481462,0.0006009401,0.2997656,0.0008890119,0.0001143296,0.00345214,0.1950417,0.004817227,0.005477218,0.008212683,0.4812393,0.0002418506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167891,0.00567806,0.0005139785,0.01355278,0.0003909523,0.00003155395,0.0002565677,0.00006847395,0.0627187],"genre_scores_gemma":[0.993319,0.001607317,0.000201006,0.001079226,0.00002660185,0.000009833594,0.00007641183,0.00001399925,0.003666587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02646857,"threshold_uncertainty_score":0.05262899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195418003042624,"score_gpt":0.2219264599571594,"score_spread":0.2099722799267332,"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."}}