{"id":"W4320723608","doi":"10.1002/cjs.11763","title":"Subgroup analysis of linear models with measurement error","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Pairwise comparison; Estimator; Mathematics; Convergence (economics); Function (biology); Penalty method; Statistics; Estimation; Observational error; Linear regression; Applied mathematics; Mathematical optimization; Algorithm; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04343626,0.001014724,0.003126426,0.00230401,0.0007746454,0.001385619,0.00227103,0.001536172,0.002561995],"category_scores_gemma":[0.1220465,0.000586757,0.003802422,0.002159589,0.001378522,0.001668819,0.001905495,0.001880558,0.0001846238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136114,"about_ca_system_score_gemma":0.001360544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004835156,"about_ca_topic_score_gemma":0.003072472,"domain_scores_codex":[0.9627619,0.03162032,0.0009008138,0.002513426,0.001486018,0.0007175235],"domain_scores_gemma":[0.8744358,0.1072798,0.005577175,0.009392274,0.002776203,0.0005386895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002904399,0.0005147511,0.1644309,0.001495617,0.01202368,0.001554884,0.0018888,0.3403744,0.002456194,0.1955948,0.006680097,0.2700816],"study_design_scores_gemma":[0.0002577222,0.0005392065,0.01172049,0.0001736466,0.001894725,0.0001995612,0.0003953394,0.724205,0.001182568,0.2560349,0.003318583,0.00007831186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1308718,0.001735971,0.8641707,0.001024358,0.0001588021,0.0004614031,0.0004412272,0.0002882613,0.0008474306],"genre_scores_gemma":[0.91819,0.0004970286,0.07872186,0.0002440948,0.0001868721,0.0006526299,0.0004465972,0.00006629854,0.0009946001],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04343626,"threshold_uncertainty_score":0.2297156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2893298832519481,"score_gpt":0.3746780008865957,"score_spread":0.08534811763464756,"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."}}