{"id":"W3191715007","doi":"10.3386/w29128","title":"The Treasury Market in Spring 2020 and the Response of the Federal Reserve","year":2021,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Treasury; Spring (device); Monetary economics; Economics; Financial system; Business; Geography; Engineering; Archaeology","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":[0.0008729903,0.0002809938,0.0003271009,0.0007406602,0.0005793844,0.003441862,0.00024238,0.001061822,0.01461927],"category_scores_gemma":[0.005042892,0.0001535961,0.000237582,0.001195284,0.0002211259,0.00111244,0.0004611968,0.001425971,0.003202847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002147765,"about_ca_system_score_gemma":0.001096585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04081365,"about_ca_topic_score_gemma":0.04404606,"domain_scores_codex":[0.9994946,0.00004002824,0.00003025654,0.00009477988,0.0002390796,0.000101199],"domain_scores_gemma":[0.9987524,0.0002027725,0.000353275,0.00006241883,0.0004951606,0.0001340437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002347728,0.0004384053,0.2093401,0.0003277634,0.000309574,0.001963632,0.0009260317,0.006670697,0.008415691,0.1666621,0.4438704,0.1587278],"study_design_scores_gemma":[0.0001252315,0.0002021318,0.5897511,0.00008458788,0.00009515679,0.0005390148,0.001027964,0.02096152,0.00954684,0.0230954,0.3544742,0.00009685542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.687587,0.003144599,0.004144965,0.03423458,0.003528429,0.0001082881,0.05194294,0.001012439,0.2142968],"genre_scores_gemma":[0.8982327,0.0007295788,0.0008487676,0.0008242842,0.0006862981,0.00004468466,0.02048748,0.00009104046,0.07805514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04081365,"threshold_uncertainty_score":0.0811522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.189063780471552,"score_gpt":0.4098889671475105,"score_spread":0.2208251866759585,"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."}}