{"id":"W4407582857","doi":"10.1016/j.jeconom.2025.105970","title":"Machine Learning for Economic Policy","year":2025,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Econometrics; Economics; Computer science; Artificial intelligence; Machine learning","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":[0.001914826,0.0006099653,0.00135476,0.001124047,0.0004294722,0.001849071,0.0006454684,0.001583448,0.006965718],"category_scores_gemma":[0.008081669,0.0003070819,0.000537079,0.001242543,0.001010014,0.002600757,0.00123609,0.002776974,0.001673849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008417251,"about_ca_system_score_gemma":0.0006221261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196353,"about_ca_topic_score_gemma":0.001387606,"domain_scores_codex":[0.9992661,0.0004038329,0.00004157733,0.0001269568,0.0001330287,0.00002844797],"domain_scores_gemma":[0.9951741,0.003714054,0.0002253301,0.0004852568,0.0003315308,0.00006975004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009166539,0.0001722817,0.002033857,0.0004409737,0.0002495949,0.0000807992,0.00007971116,0.1416609,0.0003952674,0.359872,0.06045501,0.434468],"study_design_scores_gemma":[0.00001365804,0.00001703123,0.000428792,0.00007164519,0.00001672871,0.00001728694,0.00001507839,0.4002675,0.0001688484,0.5838233,0.01515035,0.000009773986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01913712,0.06271687,0.8402072,0.03554858,0.003544203,0.00009135229,0.001294551,0.001494799,0.03596531],"genre_scores_gemma":[0.6782825,0.02898166,0.2286436,0.002758463,0.007464975,0.0003863512,0.001990662,0.0003751179,0.0511166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006965718,"threshold_uncertainty_score":0.02330267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.203004382184511,"score_gpt":0.267525994313105,"score_spread":0.06452161212859403,"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."}}