{"id":"W2943205177","doi":"10.1111/ecin.12798","title":"INFLATION DYNAMICS AND THE OUTPUT‐INFLATION TRADE‐OFF: INTERNATIONAL PANEL DATA EVIDENCE","year":2019,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Economics; Inflation (cosmology); Panel data; Context (archaeology); Econometrics; Estimation; Sample (material); Macroeconomics; New Keynesian economics; Monetary economics; Monetary policy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002483502,0.0003098306,0.0005116357,0.00120827,0.0002753799,0.002178445,0.0004686601,0.0007726965,0.003934637],"category_scores_gemma":[0.008442493,0.0002660836,0.000727279,0.00414157,0.0004646684,0.0009323584,0.0009295032,0.001097265,0.0009465723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058886,"about_ca_system_score_gemma":0.0001496351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003930997,"about_ca_topic_score_gemma":0.002965467,"domain_scores_codex":[0.9991805,0.0003425312,0.00008076413,0.000188912,0.0001173927,0.00008988922],"domain_scores_gemma":[0.9798579,0.009979101,0.007838675,0.001309486,0.0007050093,0.0003097756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005744469,0.0002192912,0.8768125,0.0004175885,0.002228711,0.0005579626,0.0007038045,0.02178097,0.0008198211,0.01961289,0.009005369,0.06726661],"study_design_scores_gemma":[0.00005482607,0.0001627172,0.9481947,0.0003354944,0.001206096,0.0003419552,0.0007688114,0.01982658,0.001323566,0.01585842,0.01183337,0.00009347484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403263,0.01254115,0.01169228,0.002406966,0.00007902219,0.00003004615,0.007948517,0.0001023418,0.02487328],"genre_scores_gemma":[0.9918054,0.00303405,0.0007204078,0.0001779209,0.00007591797,0.000008839763,0.003670037,0.00001780782,0.0004895501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003934637,"threshold_uncertainty_score":0.01316273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1878495974012267,"score_gpt":0.28329006943257,"score_spread":0.09544047203134329,"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."}}