{"id":"W4230781471","doi":"10.17016/feds.2010.26","title":"How has the Monetary Transmission Mechanism Evolved Over Time?","year":2010,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Monetary policy; Dynamic stochastic general equilibrium; Interest rate; Monetary economics; Vector autoregression; Yield curve; Credit channel; Inflation (cosmology); Inflation targeting; Taylor rule; Interest rate channel; Macroeconomics; Central bank","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":[0.0004356026,0.0003256228,0.0005289284,0.0001208473,0.0006196335,0.0004984523,0.0003532673,0.0002305103,0.0008867541],"category_scores_gemma":[0.00002465094,0.0002155664,0.0001792797,0.00007544694,0.0002700125,0.001413545,0.0001042671,0.0003755972,0.0003746149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002857999,"about_ca_system_score_gemma":0.0000231932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001363977,"about_ca_topic_score_gemma":0.00008480843,"domain_scores_codex":[0.9983508,0.00001493701,0.0005352562,0.0005992766,0.00002183935,0.0004778896],"domain_scores_gemma":[0.9988764,0.00003768865,0.0003400306,0.0006013034,0.000006727726,0.0001378525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006896827,0.0003428967,0.02444051,0.0001534123,0.0003868422,0.0000156242,0.00821455,0.001180517,0.004007399,0.8728006,0.03784399,0.04992396],"study_design_scores_gemma":[0.0007919111,0.0001239926,0.02972306,0.00001847966,0.00001450214,0.00003811736,0.000149079,0.028089,0.0009550715,0.1909355,0.7485172,0.0006440004],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582776,0.0007243837,0.0004355255,0.03709242,0.0007171229,0.0003038135,0.0002654009,0.00005293081,0.002130785],"genre_scores_gemma":[0.9818147,0.001907121,0.001082729,0.0006492539,0.000297842,0.00003734704,0.0000468304,0.00004513724,0.01411907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7106733,"threshold_uncertainty_score":0.9709336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921519792276288,"score_gpt":0.187022181127144,"score_spread":0.1578069832043811,"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."}}