{"id":"W2168797981","doi":"10.1017/s0266466611000715","title":"MEASUREMENT ERRORS AND CENSORED STRUCTURAL LATENT VARIABLES MODELS","year":2011,"lang":"en","type":"article","venue":"Econometric Theory","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Latent variable; Estimator; Econometrics; Errors-in-variables models; Statistics; Regression; Regression analysis; Structural equation modeling; Variables; Latent variable model; Observational error; Linear regression; Applied mathematics","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":[0.01407191,0.001094715,0.001592271,0.002481365,0.0008928932,0.003657922,0.004244911,0.002862149,0.005477695],"category_scores_gemma":[0.07662076,0.0007743682,0.001260609,0.004993551,0.003359529,0.005282497,0.003366274,0.003536315,0.0008748827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002068884,"about_ca_system_score_gemma":0.002475891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137868,"about_ca_topic_score_gemma":0.002860265,"domain_scores_codex":[0.9851821,0.008825132,0.0007007669,0.001785938,0.002652898,0.0008530825],"domain_scores_gemma":[0.9544225,0.02916945,0.008510174,0.005493078,0.001915117,0.0004897715],"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":[0.0000272551,0.00005831436,0.003287806,0.0001464477,0.00009198517,0.000124111,0.0003419786,0.04269974,0.0001605539,0.9319667,0.0009205587,0.02017452],"study_design_scores_gemma":[0.00003539691,0.00004064961,0.001236649,0.0001502851,0.00005123551,0.00007604937,0.0001727104,0.1312333,0.0004050753,0.8619998,0.004559278,0.00003952307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01825548,0.0007964611,0.9745985,0.001701063,0.00008822682,0.00009106773,0.0003993597,0.0001256873,0.003944219],"genre_scores_gemma":[0.7529473,0.003234537,0.231976,0.0006487825,0.0003681824,0.0007405626,0.001159316,0.00007795416,0.008847304],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01407191,"threshold_uncertainty_score":0.07442027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1754022329806074,"score_gpt":0.3070533392125294,"score_spread":0.131651106231922,"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."}}