{"id":"W244177233","doi":"","title":"Nominal GDP Targeting: A Simple Rule to Improve Fed Performance","year":2014,"lang":"en","type":"article","venue":"Cato Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Monetary policy; Monetarism; Keynesian economics; Gold standard (test); Variety (cybernetics); Monetary economics; Market liquidity; Value (mathematics); Macroeconomics; Computer science","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":[0.00228919,0.0005870244,0.0005289075,0.0007346495,0.0005722596,0.002516731,0.0007529599,0.001346297,0.003133702],"category_scores_gemma":[0.008712851,0.0001792088,0.0003052651,0.0005484257,0.0009958023,0.001477484,0.001078176,0.001175624,0.001701267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068519,"about_ca_system_score_gemma":0.0009647512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001609284,"about_ca_topic_score_gemma":0.001365044,"domain_scores_codex":[0.9990331,0.000312136,0.00008859723,0.0002607606,0.0002142954,0.00009122778],"domain_scores_gemma":[0.998657,0.0004215596,0.0003380849,0.0002227303,0.0002618744,0.00009870334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002243682,0.0004387513,0.0124904,0.0003726454,0.0002414702,0.0005447931,0.0005160813,0.1137468,0.01638102,0.291193,0.05237627,0.5094551],"study_design_scores_gemma":[0.000904032,0.001762353,0.01893812,0.0003672302,0.0003519635,0.0006671561,0.0003460207,0.4366266,0.02855496,0.3949547,0.1162928,0.0002341387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2755516,0.002734772,0.5006794,0.01811375,0.002343749,0.000292077,0.000844511,0.006323443,0.1931167],"genre_scores_gemma":[0.9457648,0.0004178508,0.04273733,0.001474912,0.0004241227,0.0000741473,0.0001312816,0.0001988665,0.008776649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003133702,"threshold_uncertainty_score":0.01210654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03471560909273354,"score_gpt":0.2163160143030341,"score_spread":0.1816004052103006,"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."}}