{"id":"W4410757241","doi":"10.1080/07474938.2025.2503353","title":"Using generalized impulse response functions to estimate nonlinear dynamic models","year":2025,"lang":"en","type":"article","venue":"Econometric Reviews","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Impulse response; Nonlinear system; Impulse (physics); Applied mathematics; Mathematics; Control theory (sociology); Computer science; Mathematical analysis; Physics; Artificial intelligence; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00564638,0.001161314,0.00127896,0.002501924,0.0003254116,0.001506618,0.001067054,0.001474448,0.002247826],"category_scores_gemma":[0.02328114,0.0008165322,0.00167854,0.001968548,0.000826114,0.001578831,0.001263808,0.00175052,0.0005884927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007913256,"about_ca_system_score_gemma":0.0008066637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004739843,"about_ca_topic_score_gemma":0.002511388,"domain_scores_codex":[0.9968917,0.002308123,0.00009709396,0.0002830476,0.0002815985,0.0001384873],"domain_scores_gemma":[0.9922816,0.006217485,0.0006240238,0.000534409,0.0002923645,0.00005009109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004289098,0.00004340397,0.002817767,0.000108061,0.0003188489,0.00009293167,0.0001029076,0.902651,0.0005192005,0.04897895,0.000520927,0.0438031],"study_design_scores_gemma":[0.00001311462,0.0000267634,0.0007432048,0.00002828863,0.00002474349,0.00002550216,0.000028855,0.9412951,0.0002795123,0.05652931,0.0009791891,0.00002647424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01596623,0.0002497566,0.9821728,0.0001675883,0.00002722151,0.00002507431,0.00006920472,0.0003152583,0.001006985],"genre_scores_gemma":[0.6494017,0.001193948,0.3440099,0.0002741547,0.000116321,0.0003203522,0.0007805482,0.0002250503,0.003678101],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00564638,"threshold_uncertainty_score":0.02986127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1797989597866442,"score_gpt":0.3518487263489697,"score_spread":0.1720497665623255,"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."}}