{"id":"W1595916601","doi":"10.3386/w12898","title":"News Shocks and Optimal Monetary Policy","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Monetary policy; Monetary economics; Economics; Keynesian economics; Macroeconomics","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":[0.0008494265,0.0006529111,0.000851192,0.0004275102,0.0004972718,0.002801891,0.0003812497,0.001745361,0.004122852],"category_scores_gemma":[0.006066196,0.0005133697,0.0003487728,0.0004494437,0.001063915,0.002629438,0.0007973618,0.001486218,0.0004018325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001862426,"about_ca_system_score_gemma":0.000919586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003823768,"about_ca_topic_score_gemma":0.001917747,"domain_scores_codex":[0.9996525,0.0001332323,0.00001683628,0.00005855696,0.00005040978,0.00008848931],"domain_scores_gemma":[0.9982941,0.001021538,0.0004325664,0.0000554896,0.0001014106,0.00009494188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007685119,0.0001445011,0.003948637,0.0002083886,0.0001616235,0.0005094889,0.0002162374,0.4820413,0.001451278,0.4862556,0.008089244,0.01620511],"study_design_scores_gemma":[0.000320144,0.000147717,0.004078997,0.00008347387,0.00007708448,0.00008323603,0.0002996797,0.4935244,0.0006982546,0.4956931,0.004946508,0.00004744139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.755559,0.007128616,0.1111827,0.02625255,0.0009572876,0.0000827367,0.001115882,0.0003607241,0.0973604],"genre_scores_gemma":[0.9904478,0.001797974,0.001486033,0.0003368728,0.0001851528,0.00002085296,0.0001048478,0.0000215529,0.005599056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004122852,"threshold_uncertainty_score":0.01379234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4904582273054859,"score_gpt":0.4831549232221358,"score_spread":0.007303304083350115,"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."}}