{"id":"W3126076632","doi":"","title":"Emerging Market Fluctuations: What Makes the Difference?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Aggregate (composite); Economics; Emerging markets; Work (physics); Small open economy; Aggregate data; Monetary economics; Decomposition; Econometrics; Macroeconomics; Monetary policy","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":[0.001436487,0.0002320687,0.0008588339,0.0009539525,0.0003885068,0.003179871,0.0004294802,0.001032257,0.002535835],"category_scores_gemma":[0.0116993,0.0001459131,0.0003862909,0.002401167,0.001018138,0.005573045,0.0006372748,0.001356412,0.0005276836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006311415,"about_ca_system_score_gemma":0.000443707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006647955,"about_ca_topic_score_gemma":0.007184078,"domain_scores_codex":[0.9995583,0.000139563,0.00004193583,0.0001063588,0.00009121047,0.00006269114],"domain_scores_gemma":[0.9965692,0.001224625,0.0009495186,0.0003775741,0.0005842784,0.0002948369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003886331,0.0001599246,0.4577271,0.0005282762,0.0004059742,0.001419714,0.004407036,0.005002074,0.0009048284,0.1908831,0.03558945,0.3025838],"study_design_scores_gemma":[0.00006695787,0.0001379545,0.451946,0.0009017899,0.0002943024,0.001681462,0.01219048,0.01522752,0.0008049579,0.4209363,0.09568729,0.0001249973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.759075,0.06389628,0.02370282,0.1169822,0.002005767,0.00006934894,0.002830948,0.0002159666,0.03122175],"genre_scores_gemma":[0.9737776,0.01800628,0.001557416,0.003227974,0.001225475,0.00001523976,0.0007960586,0.00005095555,0.00134292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006647955,"threshold_uncertainty_score":0.01321852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118142004736819,"score_gpt":0.2094370743521264,"score_spread":0.1976228738784445,"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."}}