{"id":"W2130671945","doi":"10.1002/jae.2624","title":"What are the macroeconomic effects of high‐frequency uncertainty shocks?","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"University College London","keywords":"Economics; Econometrics; Context (archaeology); Investment (military); Econometric model","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003057099,0.000393283,0.000780944,0.0008499451,0.0003764297,0.002761754,0.0004805688,0.0008821587,0.003426924],"category_scores_gemma":[0.01959833,0.0003615847,0.000803332,0.0009372284,0.0006180801,0.001715478,0.001095593,0.001598335,0.0002691615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006234332,"about_ca_system_score_gemma":0.0004205413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008044797,"about_ca_topic_score_gemma":0.004117494,"domain_scores_codex":[0.9989234,0.0004069957,0.00006830395,0.00017407,0.0002295993,0.0001975463],"domain_scores_gemma":[0.9782144,0.01346601,0.004321296,0.001607159,0.00163551,0.0007556664],"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":[0.001188139,0.0003908626,0.6675015,0.0004308704,0.001804991,0.0009113352,0.0003865171,0.2433617,0.007946508,0.01768754,0.005390631,0.05299947],"study_design_scores_gemma":[0.00005133856,0.0004094589,0.7693936,0.0001372242,0.0004893378,0.000245269,0.001354367,0.1753207,0.004555188,0.04460138,0.003292989,0.0001489875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98203,0.001205139,0.007586954,0.002802508,0.0001563678,0.0000351593,0.0008056185,0.00008478707,0.005293502],"genre_scores_gemma":[0.9988948,0.000245522,0.0002555836,0.0001273615,0.00007709031,0.00000434268,0.0001413866,0.000007766097,0.0002462086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008044797,"threshold_uncertainty_score":0.01616764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159384762975182,"score_gpt":0.2093328636929125,"score_spread":0.1933943873953943,"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."}}