{"id":"W4388582649","doi":"10.1002/cjs.11799","title":"Nonparametric estimation of a survival function in the presence of measurement errors on the failure time of interest","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Nonparametric statistics; Estimator; Extrapolation; Computer science; Estimation; Observational error; Function (biology); Statistics; Survival function; Algorithm; Econometrics; Mathematics; Engineering","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":[0.0297325,0.000687647,0.001529848,0.0013781,0.0003542891,0.001120253,0.001975225,0.001325652,0.0009462635],"category_scores_gemma":[0.1015716,0.0004762568,0.001149057,0.001419304,0.002069473,0.001440891,0.00184731,0.002217417,0.0001606129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000810004,"about_ca_system_score_gemma":0.001315076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004299417,"about_ca_topic_score_gemma":0.001906093,"domain_scores_codex":[0.9917489,0.006250418,0.0002695858,0.0006909654,0.0007280114,0.0003121249],"domain_scores_gemma":[0.8909886,0.0946321,0.006359654,0.005128387,0.002486018,0.0004051421],"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":[0.0003860223,0.0001257034,0.02740884,0.0002504609,0.0003154552,0.0007091365,0.0004034925,0.809559,0.002208429,0.09273215,0.0007988299,0.06510246],"study_design_scores_gemma":[0.00002080956,0.00009063058,0.005043091,0.00004192876,0.00003162553,0.0001109087,0.00005919725,0.9627935,0.0007249036,0.03059895,0.0004554748,0.00002898521],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0691786,0.0002406999,0.9297181,0.0001939207,0.00002737884,0.00005130435,0.0001019368,0.00009717535,0.0003908544],"genre_scores_gemma":[0.9098876,0.000358314,0.08768354,0.00009715063,0.00006343272,0.0002074696,0.0004427382,0.00003104842,0.001228764],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0297325,"threshold_uncertainty_score":0.1572424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2426067001351211,"score_gpt":0.3375639633107172,"score_spread":0.09495726317559611,"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."}}