{"id":"W2582193","doi":"10.1007/s001840200215","title":"Preliminary test estimators of the parameters of simple linear model with measurement error","year":2003,"lang":"en","type":"article","venue":"Metrika","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Estimator; Mathematics; Statistics; Observational error; Errors-in-variables models; Standard error; Delta method; Variance (accounting); Linear model; Applied mathematics; Mean squared error","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":[0.0003419143,0.0001194257,0.0002807939,0.0000475273,0.00003874257,0.000003048638,0.0001542788,0.00003855038,0.00003260559],"category_scores_gemma":[0.004501095,0.00006499808,0.00007509097,0.0004792446,0.000135299,0.00002247003,0.00003040934,0.00009650885,0.000002487066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002785792,"about_ca_system_score_gemma":0.00005901262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002163122,"about_ca_topic_score_gemma":0.0000023655,"domain_scores_codex":[0.9987517,0.00005558811,0.0003108094,0.0001401855,0.0005759476,0.0001657764],"domain_scores_gemma":[0.9984812,0.0008270301,0.0001617962,0.0003040168,0.0001637499,0.00006226362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00374978,0.04112057,0.1679103,0.01170273,0.004229929,0.0001244862,0.01152857,0.09896186,0.02632276,0.3898188,0.04757084,0.1969594],"study_design_scores_gemma":[0.002524133,0.003121116,0.004962558,0.0003362251,0.0007656451,0.00002375886,0.0004121451,0.4902371,0.2425269,0.2537647,0.0005921258,0.0007335595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2689397,0.0001431436,0.7283844,0.0001474032,0.00007357033,0.0006235614,0.00009964329,0.00004217286,0.001546404],"genre_scores_gemma":[0.6554899,0.000001215295,0.3443919,0.00002038277,0.000002873082,0.000009883457,4.293034e-7,0.00001284537,0.00007064195],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3912752,"threshold_uncertainty_score":0.5388557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088320147133558,"score_gpt":0.3122783260936506,"score_spread":0.2034463113802948,"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."}}