{"id":"W4244710121","doi":"10.2139/ssrn.3947899","title":"Endogeneity in Semiparametric Threshold Regression Model With Two Threshold Variables","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Endogeneity; Semiparametric regression; Econometrics; Regression analysis; Statistics; Regression; Semiparametric model; Mathematics; Economics; Nonparametric statistics","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":[0.002321139,0.0002407304,0.0004243989,0.000174969,0.0001475547,0.00008103372,0.0002715186,0.0001065392,0.0000812928],"category_scores_gemma":[0.001060084,0.0001679422,0.00008077022,0.000739183,0.0000545257,0.0001358575,0.00008057708,0.002240139,0.000004953825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532285,"about_ca_system_score_gemma":0.002520128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002020536,"about_ca_topic_score_gemma":0.0005268182,"domain_scores_codex":[0.9967253,0.0001634075,0.0004565507,0.0003425042,0.0004748674,0.001837416],"domain_scores_gemma":[0.9985408,0.000594034,0.000194212,0.0003504696,0.0001888452,0.0001316933],"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":[0.00008277074,0.0002032567,0.004048434,0.00002160606,0.00006615122,0.00006592014,0.00006908915,0.001144798,0.001130514,0.9863643,0.000087963,0.006715179],"study_design_scores_gemma":[0.001104254,0.0001515722,0.0001025043,0.0001531509,0.00005381951,0.0006875133,0.0002527066,0.03678917,0.001931582,0.9585258,0.00002308744,0.0002247906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3346759,0.002342454,0.6545314,0.0002911366,0.00008697859,0.0001462081,0.000007629405,0.00003747503,0.007880776],"genre_scores_gemma":[0.8465654,0.001314587,0.150993,0.00009272924,0.0001008594,0.00001139402,0.000002362628,0.00003873935,0.0008808946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5118895,"threshold_uncertainty_score":0.9732414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06338209003121456,"score_gpt":0.3514366771064701,"score_spread":0.2880545870752556,"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."}}