{"id":"W2890498200","doi":"10.1515/snde-2016-0148","title":"Asymmetric impact of uncertainty in recessions: are emerging countries more vulnerable?","year":2018,"lang":"en","type":"article","venue":"Studies in Nonlinear Dynamics and Econometrics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emerging markets; Economics; Recession; Openness to experience; Shock (circulatory); Great recession; Volatility (finance); Econometrics; Macro; Monetary economics; Macroeconomics; Keynesian economics","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":[0.001142418,0.0001746457,0.0004827947,0.0006592441,0.000494998,0.00170197,0.0002035496,0.0005089367,0.00381552],"category_scores_gemma":[0.005145984,0.0001442106,0.0003712677,0.0008008078,0.0006784613,0.00124359,0.001652417,0.000906831,0.0002629664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003680858,"about_ca_system_score_gemma":0.0002531617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009848326,"about_ca_topic_score_gemma":0.006354962,"domain_scores_codex":[0.9996362,0.00008057749,0.00002471077,0.00007168796,0.00004546225,0.0001413686],"domain_scores_gemma":[0.9966922,0.0007801604,0.001766753,0.0002148136,0.0002711347,0.0002749431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003631747,0.00004245049,0.979446,0.00003627923,0.0001654061,0.0003764545,0.001859232,0.003025737,0.000853804,0.002593765,0.000879371,0.01035818],"study_design_scores_gemma":[0.00001287041,0.00006651833,0.9840896,0.00004445985,0.00008324043,0.0001428223,0.006774858,0.003131843,0.0003351782,0.003503908,0.001796522,0.00001824251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965019,0.0001884328,0.0002336083,0.0004608181,0.000005270076,0.000004942127,0.000191399,0.000002729101,0.002410882],"genre_scores_gemma":[0.9994355,0.0001647938,0.00002956416,0.00007263388,0.000007952884,0.000001655819,0.0001127355,0.000001621515,0.0001736213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009848326,"threshold_uncertainty_score":0.01958203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639234366820056,"score_gpt":0.3235647562051036,"score_spread":0.277172412536903,"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."}}