{"id":"W3122743106","doi":"","title":"Strict and Flexible Inflation Forecast Targets: An Empirical Investigation","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflation targeting; Inflation (cosmology); Monetary policy; Economics; Output gap; Econometrics; Central bank; Macroeconomics; Monetary economics","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":[0.007900019,0.0003185287,0.0006468759,0.001044611,0.0005401148,0.002148631,0.001379094,0.001315172,0.004271196],"category_scores_gemma":[0.06021498,0.0003994575,0.0004824479,0.001951573,0.001148402,0.002196885,0.001303422,0.002537152,0.0007060409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374059,"about_ca_system_score_gemma":0.0007933824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02627794,"about_ca_topic_score_gemma":0.01563123,"domain_scores_codex":[0.9981375,0.0007323538,0.0001433646,0.0002914942,0.000378859,0.0003164444],"domain_scores_gemma":[0.9139017,0.06655858,0.01233988,0.004155979,0.001998542,0.001045437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00117149,0.0006601465,0.9095703,0.0001203004,0.0002651504,0.000651672,0.002932934,0.03044842,0.0007606875,0.01922865,0.003265599,0.03092474],"study_design_scores_gemma":[0.0001563935,0.0003865375,0.8007507,0.00006116985,0.0001618286,0.000444862,0.004208476,0.1801844,0.0009644462,0.01000852,0.002605797,0.00006687319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962798,0.0001259483,0.001133564,0.0002240994,0.000002964113,0.00001392891,0.000197561,0.00003185248,0.00199024],"genre_scores_gemma":[0.9990346,0.00006572072,0.0002573669,0.00002674614,0.000004559782,0.000006618127,0.0003452144,0.000007209131,0.000251891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02627794,"threshold_uncertainty_score":0.05224997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1476972354564992,"score_gpt":0.3352188121389584,"score_spread":0.1875215766824592,"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."}}