{"id":"W3121150053","doi":"10.1515/1935-1690.2371","title":"The Local Effects of Monetary Policy","year":2012,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Monetary policy; Equity (law); Interest rate; Monetary economics; Metropolitan area; Business cycle; Bayesian vector autoregression; Empirical evidence; Econometrics; Bayesian probability; Macroeconomics; Geography","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":[0.001583514,0.0002315954,0.0007298479,0.0006341346,0.0003743657,0.00145965,0.0005050763,0.0005455927,0.005660035],"category_scores_gemma":[0.0074914,0.0003342024,0.00053585,0.001134145,0.0007195981,0.0008972278,0.001563141,0.0007336697,0.0008069801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008185964,"about_ca_system_score_gemma":0.0004200227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0149201,"about_ca_topic_score_gemma":0.01901676,"domain_scores_codex":[0.9988589,0.0005547194,0.00003935542,0.0002837749,0.0001164712,0.0001467711],"domain_scores_gemma":[0.9974858,0.001207179,0.0007031107,0.0002213014,0.0002547465,0.0001279713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007491623,0.0002487215,0.6116454,0.000415034,0.001453,0.0007757058,0.001805355,0.255948,0.005035208,0.04360296,0.004824142,0.07349739],"study_design_scores_gemma":[0.00005831127,0.0003204684,0.7984793,0.0001353501,0.0005561576,0.0001706368,0.003294645,0.1539749,0.002678606,0.0280726,0.01215903,0.0001001316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695975,0.000990541,0.01415629,0.0009300223,0.00003657196,0.00003039713,0.001049764,0.0001092729,0.01309981],"genre_scores_gemma":[0.9972772,0.0003123201,0.0006721654,0.00005802615,0.00001764352,0.00001039094,0.000267635,0.00001163511,0.001373127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0149201,"threshold_uncertainty_score":0.02966648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043017742768295,"score_gpt":0.2061268414636172,"score_spread":0.1956966640359342,"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."}}