{"id":"W2981379667","doi":"10.1002/soej.12406","title":"U.S. Monetary Policy since the 1950s and the Changing Content of FOMC Minutes","year":2019,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"","keywords":"Open market operation; Content (measure theory); Benchmark (surveying); Tone (literature); Diction; Economics; Monetary policy; Lag; Monetary economics; Econometrics; Mathematics; Computer science; Literature","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001661217,0.0002025041,0.0005754305,0.0002561625,0.000239002,0.0001427104,0.0004745052,0.00007500577,0.0006101161],"category_scores_gemma":[0.00006011357,0.0001370683,0.0002732921,0.00006515533,0.000293646,0.0002544549,0.0001139511,0.0003065791,0.001388856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172219,"about_ca_system_score_gemma":0.00004284503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002417766,"about_ca_topic_score_gemma":0.00005230597,"domain_scores_codex":[0.998313,0.00005164005,0.0008862025,0.0002511567,0.00002503218,0.0004729378],"domain_scores_gemma":[0.9983653,0.0002127855,0.0008933611,0.0004182218,0.000008429503,0.0001018972],"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":[0.001025221,0.0001159479,0.3953062,0.0001164549,0.002257845,0.000007565938,0.07039518,0.01676174,0.0001157884,0.5026776,0.002321434,0.008899092],"study_design_scores_gemma":[0.02845018,0.0006873875,0.1466587,0.0002574703,0.000212977,0.002153735,0.05132395,0.2204635,0.0003166749,0.4668953,0.0799697,0.002610398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977411,0.006288807,0.00009042813,0.01045132,0.0005874852,0.0002875238,0.0002217617,0.000008935312,0.004652725],"genre_scores_gemma":[0.9946384,0.0006390053,0.00006147903,0.001030516,0.0006418293,0.000005432722,0.000002756298,0.0000284806,0.002952069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2486475,"threshold_uncertainty_score":0.9993887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04399024384961561,"score_gpt":0.2036853538321471,"score_spread":0.1596951099825315,"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."}}