{"id":"W1496859204","doi":"10.34989/swp-2006-41","title":"An Optimized Monetary Policy Rule for ToTEM","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Totem; Monetary policy; Economics; Monetary economics; Macroeconomics; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001435788,0.0005579944,0.000901585,0.0004159216,0.0005310694,0.002438417,0.001002967,0.001118976,0.002731636],"category_scores_gemma":[0.005820975,0.0003111108,0.0005021421,0.0004506473,0.0008336905,0.001180208,0.0009480223,0.001498577,0.0006851589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541379,"about_ca_system_score_gemma":0.002541682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119686,"about_ca_topic_score_gemma":0.01122743,"domain_scores_codex":[0.9991722,0.0002117118,0.00005864527,0.0002268437,0.0002492646,0.00008141428],"domain_scores_gemma":[0.9992117,0.0002795751,0.00008794679,0.00009521249,0.0002726699,0.0000529153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001107869,0.00003820603,0.0006655712,0.00007115344,0.00005155682,0.0001540103,0.00007978632,0.7096899,0.002336459,0.2288578,0.006087365,0.05185737],"study_design_scores_gemma":[0.00002493076,0.00001858398,0.0001611124,0.00002069611,0.0000123906,0.00004444621,0.00001076181,0.9441534,0.0007881875,0.05117005,0.00357955,0.00001597872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02619768,0.000517705,0.9492778,0.001337044,0.0005392805,0.0001206846,0.0003211729,0.0003277534,0.02136093],"genre_scores_gemma":[0.6636274,0.0006464948,0.3188478,0.0005693339,0.0002429197,0.0002112276,0.0004671555,0.0002422732,0.01514543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01119686,"threshold_uncertainty_score":0.02226335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09019800803394476,"score_gpt":0.3244297272534368,"score_spread":0.234231719219492,"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."}}