{"id":"W2910418830","doi":"10.5430/ijfr.v10n1p31","title":"Perspectives From the Past for the Federal Reserve’s Monetary Policy and Communication","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; Interest rate; Quantitative easing; Economics; Forward guidance; Normalization (sociology); Excess reserves; Inflation (cosmology); Federal funds; Credit channel; Monetary economics; Macroeconomics; Inflation targeting; Central bank","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01547495,0.0007011506,0.0005734696,0.003455812,0.0101733,0.01806764,0.001322374,0.007785776,0.007439231],"category_scores_gemma":[0.02027828,0.0004247028,0.0004215763,0.003431855,0.01119985,0.01690691,0.004606208,0.01186236,0.000941433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01357814,"about_ca_system_score_gemma":0.0055541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01156923,"about_ca_topic_score_gemma":0.01252617,"domain_scores_codex":[0.989386,0.006120229,0.0006048343,0.001042209,0.001679051,0.001167757],"domain_scores_gemma":[0.9821004,0.009241996,0.002555712,0.001069046,0.002622689,0.002410048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002037982,0.0001033847,0.006090889,0.0004031024,0.00006898294,0.0004790628,0.04096374,0.001217668,0.0007060505,0.8311337,0.03759245,0.08103728],"study_design_scores_gemma":[0.0000382567,0.0000999615,0.01094292,0.001939188,0.0000676523,0.0004568824,0.04478778,0.001843976,0.0008982047,0.2650624,0.6736428,0.0002199637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05509977,0.05995122,0.01344842,0.6425802,0.005682492,0.00002335464,0.000340857,0.0001139434,0.2227598],"genre_scores_gemma":[0.9465038,0.01791632,0.004240566,0.02029876,0.00338016,0.00004606244,0.00009425385,0.00008107565,0.007439019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01806764,"threshold_uncertainty_score":0.09851676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1856645833414091,"score_gpt":0.3801603041393768,"score_spread":0.1944957207979677,"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."}}