{"id":"W4298007160","doi":"10.1016/j.econlet.2022.110875","title":"Assessing the credibility of central bank signals: The case of transitory inflation","year":2022,"lang":"en","type":"article","venue":"Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Credibility; Inflation (cosmology); Central bank; Economics; Inflation targeting; Measure (data warehouse); Monetary economics; Monetary policy; Index (typography); Construct (python library); Set (abstract data type); Econometrics; Macroeconomics; Computer science; Political science; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.001549271,0.0001273688,0.0003356571,0.0001052054,0.0003155592,0.0000514716,0.0003480244,0.00003472912,0.0006616964],"category_scores_gemma":[0.00003441786,0.0001165008,0.0002160241,0.0000857449,0.0001827849,0.000366349,0.00007235948,0.0002357111,0.00001021785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001807674,"about_ca_system_score_gemma":0.00002330363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724474,"about_ca_topic_score_gemma":0.00005067622,"domain_scores_codex":[0.9984623,0.00009191463,0.0008984078,0.0002612452,0.00001532039,0.0002708173],"domain_scores_gemma":[0.9984542,0.0002701592,0.0007328996,0.0004967034,0.000004326216,0.00004169938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006454761,0.0001177543,0.09010732,0.0000604319,0.0003177123,0.00001641823,0.008639356,0.8725222,0.000644026,0.02247999,0.003278855,0.001751326],"study_design_scores_gemma":[0.002355177,0.0002354417,0.3559601,0.0000148527,0.0001044605,0.0004396869,0.005813949,0.5721182,0.001779599,0.02735061,0.03279424,0.001033732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919432,0.0002729895,0.0005438867,0.004838595,0.000560016,0.0002280965,0.0003027352,0.000008129334,0.001302384],"genre_scores_gemma":[0.9981923,0.00002190328,0.00008545806,0.00147419,0.0001593436,0.00001707408,0.00001321177,0.000016153,0.00002039853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3004041,"threshold_uncertainty_score":0.7245111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0674185535084133,"score_gpt":0.2407403361970563,"score_spread":0.173321782688643,"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."}}