{"id":"W4323337413","doi":"10.3982/ecta18627","title":"Optimal Monetary Policy in Production Networks","year":2022,"lang":"en","type":"article","venue":"Econometrica","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Economics; Upstream (networking); Monetary policy; Production (economics); Welfare; Index (typography); Downstream (manufacturing); Monetary economics; Microeconomics; Price index; Computer science; Market economy","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":[0.0008798671,0.0001622518,0.0004281393,0.001870187,0.0002104218,0.00004854035,0.0003605628,0.00005548853,0.002251749],"category_scores_gemma":[0.0001183704,0.0002335554,0.0001258842,0.001602688,0.00004401557,0.0003102549,0.0002659232,0.0003261985,0.0002416006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006652265,"about_ca_system_score_gemma":0.00003312793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007171809,"about_ca_topic_score_gemma":0.00001726204,"domain_scores_codex":[0.9981182,0.00002550885,0.0007488637,0.0006231213,0.00002224108,0.0004620767],"domain_scores_gemma":[0.9991046,0.00004960345,0.0003147797,0.0004328769,0.000006451306,0.00009175258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004243599,0.000177473,0.04314294,0.00000694819,0.00003952998,0.000005452454,0.000392358,0.631127,8.968482e-7,0.3192983,0.003050191,0.002716469],"study_design_scores_gemma":[0.002044888,0.0004653475,0.08624128,0.000005825955,0.000007966218,0.00005988797,0.0008326833,0.1346368,0.00001827211,0.09654932,0.677697,0.001440733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9098135,0.006827191,0.00245638,0.004051367,0.002061593,0.0005096464,0.0001981379,0.00009446264,0.07398768],"genre_scores_gemma":[0.9944844,0.0003328083,0.000487065,0.0003656233,0.0004334165,0.0001569324,0.00004125083,0.00003561821,0.003662843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6746468,"threshold_uncertainty_score":0.9986603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037348842057379,"score_gpt":0.2007985073939909,"score_spread":0.1804250189734171,"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."}}