{"id":"W4394730466","doi":"10.2139/ssrn.4758137","title":"Machine Learning Taylor Rule","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Rule of law; Artificial intelligence; Political science; Law","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":[0.001415036,0.0003860851,0.001060702,0.0008739904,0.0004036291,0.001371881,0.0004415826,0.001122601,0.00705566],"category_scores_gemma":[0.01154639,0.0002729641,0.0004544064,0.0006955841,0.0004704166,0.001310709,0.0004679204,0.001408322,0.003333108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005120269,"about_ca_system_score_gemma":0.0006099109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009733522,"about_ca_topic_score_gemma":0.0009668178,"domain_scores_codex":[0.9995522,0.0001955058,0.00003238222,0.0001116748,0.00008502947,0.00002314807],"domain_scores_gemma":[0.9949767,0.003811006,0.0002784388,0.0003581176,0.0005074358,0.00006826091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001351578,0.0001650311,0.004715686,0.0002865783,0.0001242181,0.0003524364,0.0001242671,0.2343491,0.002015596,0.1872474,0.04104941,0.5294352],"study_design_scores_gemma":[0.00001224957,0.00001643826,0.0003064414,0.00002934693,0.00001235415,0.00005257314,0.000006664372,0.907702,0.0004545774,0.08768813,0.003712273,0.000006969537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04007703,0.006213007,0.9198542,0.004309135,0.0008482958,0.00007686122,0.0005418435,0.001325842,0.02675379],"genre_scores_gemma":[0.7501705,0.004494341,0.1943989,0.0007613689,0.001501936,0.000172252,0.001291819,0.000300022,0.04690878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00705566,"threshold_uncertainty_score":0.02360356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674573389338306,"score_gpt":0.2197884861674518,"score_spread":0.1930427522740687,"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."}}