{"id":"W4312642539","doi":"10.1007/978-3-031-08329-7_9","title":"Sieve Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data","year":2012,"lang":"en","type":"book-chapter","venue":"ICSA book series in statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Estimator; Mathematics; Truncation (statistics); Applied mathematics; Sieve (category theory); Transformation (genetics); Asymptotic distribution; Rate of convergence; Nonparametric statistics; Semiparametric model; Semiparametric regression; Conditional expectation; Statistics; Mathematical optimization; 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":[0.002294732,0.0008501516,0.001673544,0.00096054,0.0002904354,0.001693777,0.00177175,0.001202389,0.00670513],"category_scores_gemma":[0.008149385,0.0009180733,0.001812659,0.00144237,0.0006548951,0.002554227,0.00194701,0.002204326,0.002714287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004264727,"about_ca_system_score_gemma":0.0007710581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413415,"about_ca_topic_score_gemma":0.001974869,"domain_scores_codex":[0.9993029,0.0002846387,0.00004090201,0.0001733874,0.0001435106,0.00005470069],"domain_scores_gemma":[0.9971467,0.002008629,0.0001400495,0.0004585017,0.0001907631,0.00005536159],"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":[0.0002233953,0.0001024562,0.004425745,0.0003105786,0.0003113561,0.0002509979,0.0003882578,0.3264548,0.00381599,0.2058817,0.01262253,0.4452122],"study_design_scores_gemma":[0.000006783132,0.0000325328,0.001064733,0.00004333967,0.00003121009,0.0001525385,0.00002996491,0.8943859,0.001418971,0.09814181,0.004665141,0.00002698114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005547554,0.000343896,0.9916587,0.0001084199,0.00003745592,0.00001042566,0.0001721468,0.0002904397,0.00183094],"genre_scores_gemma":[0.3490956,0.00294753,0.5928411,0.000352391,0.0003095007,0.0004097996,0.005558916,0.0007640594,0.04772123],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00670513,"threshold_uncertainty_score":0.0224309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1535948287832955,"score_gpt":0.3808393644833736,"score_spread":0.227244535700078,"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."}}