{"id":"W2259112270","doi":"","title":"Taylor rules, central bank preferences and inflation targeting","year":2015,"lang":"en","type":"preprint","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; Taylor rule; Inflation targeting; New Keynesian economics; Economics; Central bank; Inflation (cosmology); Interest rate; Function (biology); Point (geometry); Simple (philosophy); Keynesian economics; Macroeconomics; Monetary economics; Econometrics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001776973,0.0002964711,0.0009686473,0.0008726337,0.0006365337,0.00002830188,0.001679482,0.0006000526,0.001067187],"category_scores_gemma":[0.000112908,0.0004091596,0.0003415053,0.0003584576,0.001584469,0.0004911473,0.002031729,0.001252379,0.00004305337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003118673,"about_ca_system_score_gemma":0.0002550986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04753283,"about_ca_topic_score_gemma":0.004409908,"domain_scores_codex":[0.9978464,0.000262772,0.0003603716,0.0006815559,0.000241303,0.0006075853],"domain_scores_gemma":[0.9974771,0.0002716707,0.0009673935,0.0006863653,0.0002785892,0.0003188569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.009468482,0.003662306,0.3239892,0.006906535,0.006755065,0.0003248809,0.3661241,0.1117897,0.0004968583,0.03514693,0.1018641,0.03347179],"study_design_scores_gemma":[0.01118639,0.001915315,0.2783814,0.001525646,0.0007509395,0.00001783192,0.2942326,0.2071275,0.00006292058,0.02872638,0.1731935,0.002879518],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815134,0.001474263,0.001958276,0.002963743,0.0001437824,0.0005482105,0.00251204,0.00003507577,0.008851191],"genre_scores_gemma":[0.9889053,0.004085434,0.003677983,0.00001062621,0.00007418661,1.26502e-8,0.0003536537,0.00001572035,0.002877146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09533777,"threshold_uncertainty_score":0.999846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347093758915338,"score_gpt":0.2506944801814602,"score_spread":0.1159851042899265,"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."}}