{"id":"W2167063649","doi":"10.1017/s0266466615000067","title":"STRUCTURAL THRESHOLD REGRESSION","year":2015,"lang":"en","type":"article","venue":"Econometric Theory","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Endogeneity; Mathematics; Generalization; Heteroscedasticity; Applied mathematics; Asymptotic distribution; Inference; Threshold model; Econometrics; Monte Carlo method; Instrumental variable; Regression; Asymptotic analysis; Statistics; Computer science; Estimator; Mathematical analysis; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001662387,0.0002522171,0.0005371303,0.000981265,0.000112676,0.0001067582,0.0004350063,0.0001462682,0.004096886],"category_scores_gemma":[0.0003775806,0.000255468,0.0001745337,0.000569711,0.00009563035,0.0006476167,0.0001136174,0.0002114154,0.006338858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002421159,"about_ca_system_score_gemma":0.00002176985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001066419,"about_ca_topic_score_gemma":0.000002884909,"domain_scores_codex":[0.9981765,0.00002924452,0.0007259322,0.0005245146,0.00003005794,0.0005138214],"domain_scores_gemma":[0.9984872,0.0001124772,0.0003926911,0.000609818,0.00001129352,0.0003865138],"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":[0.0001240782,0.00004888874,0.08594687,0.00001648414,0.0001297492,0.00000906992,0.001126643,0.002204952,0.000001006495,0.8897058,0.01500214,0.005684293],"study_design_scores_gemma":[0.001515546,0.0001631818,0.03163304,0.000009266481,0.000008839294,0.0000362648,0.0002630378,0.0125162,0.00005218001,0.8878822,0.06525149,0.0006688052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7940941,0.007295804,0.0002908481,0.000337567,0.001303032,0.0001592362,0.0001197351,0.00008656416,0.1963131],"genre_scores_gemma":[0.991665,0.00007659821,0.0003495905,0.0006115747,0.000486968,0.00001322922,0.00002985673,0.00003847896,0.00672868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1975709,"threshold_uncertainty_score":0.9999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1401198997930337,"score_gpt":0.2485930209572496,"score_spread":0.1084731211642159,"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."}}