{"id":"W2038940327","doi":"10.2139/ssrn.2352935","title":"A MPEC Estimator for Misclassification Models","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Estimator; Statistics; Mathematics; Econometrics; Computer science","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":[0.02182046,0.000933155,0.002191295,0.003004154,0.0009350392,0.002316786,0.004793426,0.003164634,0.008899923],"category_scores_gemma":[0.1162907,0.0008244201,0.001767065,0.002511109,0.001149925,0.003544167,0.002967716,0.004087666,0.002046533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008813546,"about_ca_system_score_gemma":0.001717472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002573875,"about_ca_topic_score_gemma":0.002414758,"domain_scores_codex":[0.9883712,0.006693612,0.0006574737,0.002354082,0.001574326,0.0003492243],"domain_scores_gemma":[0.910872,0.0643074,0.003576166,0.01421277,0.006387739,0.0006440619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000859913,0.0003773984,0.03263922,0.0006932518,0.001241066,0.0004661515,0.000264443,0.111122,0.002432899,0.09265864,0.0173096,0.7399353],"study_design_scores_gemma":[0.000167659,0.0003065048,0.0129158,0.0003093856,0.0003557705,0.001138217,0.0001015886,0.8684196,0.003626041,0.1007144,0.01186353,0.00008143005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008109987,0.0005647748,0.9892565,0.0003713231,0.000101536,0.0001151882,0.0003463063,0.0004290778,0.0007052807],"genre_scores_gemma":[0.2884309,0.0007734962,0.6956735,0.0008025583,0.0008732288,0.0009800444,0.003170788,0.0003199581,0.008975592],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02182046,"threshold_uncertainty_score":0.115399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008840059441553515,"score_gpt":0.2268332389875538,"score_spread":0.2179931795460003,"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."}}