{"id":"W4206031387","doi":"10.1186/s12874-021-01496-3","title":"Stacked survival models for residual lifetime data","year":2022,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Health Canada; Medical Research Council; Pfizer Canada; Pfizer; Natural Sciences and Engineering Research Council of Canada; Medical Research Council Canada","keywords":"Censoring (clinical trials); Residual; Estimator; Statistics; Nonparametric statistics; Confidence interval; Parametric statistics; Survival analysis; Econometrics; Mathematics; Robustness (evolution); Survival function; Brier score; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06118613,0.0001427694,0.0004313935,0.0001293344,0.0005423363,0.0000115732,0.001832657,0.0003448479,0.0008064621],"category_scores_gemma":[0.08424789,0.0001363763,0.00009655578,0.000207425,0.0004192135,0.000003219871,0.003567157,0.0006345586,0.00001278934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004892265,"about_ca_system_score_gemma":0.002074185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002650711,"about_ca_topic_score_gemma":0.0006501354,"domain_scores_codex":[0.9766917,0.01976048,0.0005218963,0.0009762688,0.00106505,0.0009846267],"domain_scores_gemma":[0.9846117,0.01333042,0.0001088874,0.001283307,0.0002918418,0.0003737944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002978005,0.0006397051,0.01119281,0.0001571081,0.0005054425,0.00002854709,0.0003015136,0.005484334,0.01729416,0.02384189,0.895613,0.04196349],"study_design_scores_gemma":[0.003982149,0.003157995,0.004321774,0.00001093944,0.00005580212,0.00008637201,0.003278017,0.07120509,0.0006340452,0.05598337,0.8566799,0.0006045781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1356477,0.002139007,0.8499162,0.007309605,0.000989677,0.0009438585,0.0007749704,0.00003061217,0.002248443],"genre_scores_gemma":[0.2845047,0.001666164,0.6816566,0.002792004,0.004035963,0.001787564,0.008878915,0.0001512488,0.01452687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1682595,"threshold_uncertainty_score":0.9667065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.677483171735411,"score_gpt":0.564349427297388,"score_spread":0.1131337444380229,"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."}}