{"id":"W3108084327","doi":"10.2139/ssrn.3695365","title":"Measuring 'State-level' Economic Policy Uncertainty","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"CARE Canada; University of Toronto","funders":"","keywords":"State (computer science); Economics; Econometrics; Political science; Public economics; Computer science","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":[0.001719877,0.0002851167,0.0004028819,0.001346305,0.0002559657,0.002278085,0.0003481094,0.0009755712,0.00210149],"category_scores_gemma":[0.015435,0.0002377264,0.0002406465,0.001540962,0.0004724573,0.002507538,0.0007843706,0.0008995865,0.0003341266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007655724,"about_ca_system_score_gemma":0.0004961544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001968558,"about_ca_topic_score_gemma":0.00159225,"domain_scores_codex":[0.9992269,0.0002873745,0.00005353389,0.0001668227,0.0001940698,0.00007138631],"domain_scores_gemma":[0.9914516,0.005702768,0.001714136,0.0004932942,0.0004535801,0.0001847038],"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":[0.0006525759,0.0003907016,0.4767826,0.0002161838,0.000705025,0.0002451359,0.001113732,0.3720633,0.006143438,0.06669823,0.003879691,0.07110946],"study_design_scores_gemma":[0.00002876747,0.0002728357,0.2746767,0.00004932467,0.000131266,0.0001301556,0.00061758,0.6425412,0.008151433,0.07011928,0.003171666,0.000109802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491518,0.0002049309,0.03626965,0.0006198838,0.00005769668,0.00002288887,0.001331087,0.0001803917,0.01216183],"genre_scores_gemma":[0.9983103,0.00006158985,0.001166599,0.00001981082,0.00001884199,0.000005652668,0.0002574208,0.000007917278,0.0001518399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002278085,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199331086123387,"score_gpt":0.2250545750702666,"score_spread":0.1830612642090327,"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."}}