{"id":"W3125735158","doi":"","title":"Weak Identification in Probit Models with Endogenous Covariates","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Probit model; Covariate; Identification (biology); Econometrics; Statistic; Probit; Mathematics; Distortion (music); Contrast (vision); Statistics; Sufficient statistic; Ordered probit; Endogeneity; Physics","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":[0.05387112,0.001591427,0.004237098,0.00282704,0.001757045,0.004849642,0.002947027,0.00392011,0.01092823],"category_scores_gemma":[0.2514811,0.001337395,0.00349171,0.003742006,0.004390464,0.008600271,0.005077931,0.005571285,0.001841781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905514,"about_ca_system_score_gemma":0.00258079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003994905,"about_ca_topic_score_gemma":0.002469916,"domain_scores_codex":[0.958853,0.02834189,0.002326708,0.004967366,0.004051535,0.001459522],"domain_scores_gemma":[0.6265913,0.3235944,0.02876246,0.01356427,0.006372201,0.001115575],"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":[0.0006596023,0.0003463197,0.06674168,0.001959662,0.001853343,0.002434909,0.002416358,0.1437455,0.001176274,0.6269641,0.008610949,0.1430914],"study_design_scores_gemma":[0.0001137557,0.0003066406,0.009747108,0.0002706643,0.0003186776,0.0004133097,0.000573344,0.2668503,0.001342091,0.7134815,0.006482502,0.000100124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08604526,0.004156948,0.8931099,0.00494167,0.0003428606,0.0003405411,0.0007271051,0.000573344,0.009762483],"genre_scores_gemma":[0.8808379,0.003876379,0.09867521,0.001448887,0.0006996136,0.0008325566,0.001294272,0.0003200975,0.01201506],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05387112,"threshold_uncertainty_score":0.2849011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05670949385669175,"score_gpt":0.268721450299746,"score_spread":0.2120119564430542,"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."}}