{"id":"W2116865833","doi":"10.1017/s0266466604206053","title":"TESTING FOR STRUCTURAL CHANGE IN THE PRESENCE OF AUXILIARY MODELS","year":2004,"lang":"en","type":"article","venue":"Econometric Theory","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Lagrange multiplier; Inference; Mathematics; Econometrics; Wald test; Mathematical economics; Generalized method of moments; Econometric model; Statistical hypothesis testing; Computer science; Statistics; Mathematical optimization; Panel data; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001923484,0.0001620805,0.000413746,0.0007605026,0.00008224189,0.00003647592,0.000521911,0.00008443044,0.0001391786],"category_scores_gemma":[0.0005975474,0.000150995,0.0001346814,0.0007307971,0.00009026095,0.0006613101,0.00004884875,0.0001326785,0.00005149643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082178,"about_ca_system_score_gemma":0.00001689588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001133387,"about_ca_topic_score_gemma":0.00002589813,"domain_scores_codex":[0.9984969,0.00002763704,0.0007178283,0.0003422577,0.00001993419,0.0003954011],"domain_scores_gemma":[0.9982867,0.0008474598,0.0003917459,0.0004112457,0.000009616074,0.00005328189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005100665,0.00006185318,0.0276812,0.00006833705,0.00004105443,0.000001380298,0.004445162,0.0253535,0.000002064598,0.9354547,0.00004266974,0.006797075],"study_design_scores_gemma":[0.0008582635,0.0001374411,0.1030618,0.00001424792,0.000004712084,0.000007921542,0.000195648,0.0250552,0.00002143401,0.870142,0.0002962366,0.0002050737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828615,0.004052838,0.00157147,0.0003477085,0.0002913758,0.000687804,0.0003399604,0.00001691478,0.009830468],"genre_scores_gemma":[0.9975625,0.00004768524,0.001522786,0.000456479,0.0002072319,0.0001179306,0.0000114989,0.00001958982,0.00005425418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07538059,"threshold_uncertainty_score":0.6157398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.171734183976283,"score_gpt":0.2634117993534946,"score_spread":0.09167761537721159,"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."}}