{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002529074,0.0001640216,0.0003206742,0.0002294782,0.0003766526,0.00006361381,0.0002150482,0.00008995042,0.0001216562],"category_scores_gemma":[0.005177951,0.0001392324,0.0001381138,0.000625507,0.00004829347,0.00006082132,0.00002992789,0.00182855,0.00003247917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00064938,"about_ca_system_score_gemma":0.001090851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005580292,"about_ca_topic_score_gemma":0.0001631296,"domain_scores_codex":[0.9973269,0.0002817603,0.0004411862,0.0002017209,0.0002155434,0.001532882],"domain_scores_gemma":[0.9970783,0.002259088,0.0001880053,0.0002005974,0.0001887313,0.00008529412],"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":[0.00005517812,0.0001142318,0.003584046,0.00001507807,0.0002305426,0.000002969841,0.00001898973,0.00001177987,0.0003605448,0.6921082,0.0004247446,0.3030737],"study_design_scores_gemma":[0.0008681175,0.000191501,0.000630945,0.00003052049,0.0001680451,0.0003822547,0.0003028799,0.002089883,0.0002260141,0.9945819,0.0003843625,0.0001436011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03525263,0.000750352,0.9582628,0.0002242718,0.0007397863,0.0001580699,0.000005981185,0.00005277772,0.0045533],"genre_scores_gemma":[0.981093,0.0001176624,0.01599578,0.0001622261,0.0001668034,0.00001334514,8.479663e-7,0.00001630122,0.002434059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9458404,"threshold_uncertainty_score":0.7944242,"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."}}