{"id":"W4408809077","doi":"10.2139/ssrn.5190794","title":"Correcting Endogeneity via Nonparametric Copula Control Functions","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Endogeneity; Nonparametric statistics; Copula (linguistics); Econometrics; Statistics; Mathematics; Economics","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":[0.01945278,0.001537013,0.001501564,0.002030621,0.001006771,0.003058275,0.002917615,0.002247586,0.00397254],"category_scores_gemma":[0.1335371,0.0009260658,0.001307212,0.003474185,0.002193952,0.003715176,0.002622122,0.003325406,0.0007401014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103552,"about_ca_system_score_gemma":0.002255202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003829806,"about_ca_topic_score_gemma":0.003132417,"domain_scores_codex":[0.9885958,0.007125757,0.0004489525,0.001926985,0.001406798,0.0004957396],"domain_scores_gemma":[0.8932712,0.06762058,0.007521695,0.0265248,0.004521342,0.0005405128],"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":[0.0004008301,0.0002890451,0.02431792,0.0003886654,0.0009978954,0.0006534947,0.0008217032,0.2368857,0.00383262,0.4319199,0.008430666,0.2910617],"study_design_scores_gemma":[0.00005238474,0.0001011024,0.008298363,0.00008040478,0.000175121,0.0001656272,0.000119573,0.8088741,0.004776035,0.1719732,0.005308685,0.00007545778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01926862,0.0002691115,0.9785589,0.0002571987,0.00008581901,0.00003621631,0.0001079861,0.0005118814,0.0009043265],"genre_scores_gemma":[0.7093379,0.000561574,0.2834357,0.0002802792,0.0002313542,0.0002265614,0.0006303829,0.0007603739,0.004535884],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01945278,"threshold_uncertainty_score":0.1028774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02989930483770559,"score_gpt":0.3412616117913227,"score_spread":0.3113623069536172,"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."}}