{"id":"W2057909673","doi":"10.1002/sim.3758","title":"Estimation of prediction error for survival models","year":2009,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Waterloo","funders":"","keywords":"Estimator; Statistics; Confidence interval; Point estimation; Regression analysis; Regression; Prediction interval; Computer science; Standard error; Econometrics; Estimation; Mean squared error; Model selection; Mathematics","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":[0.04652935,0.001308296,0.001835949,0.002849317,0.0004603357,0.0019322,0.002204549,0.002113825,0.001401004],"category_scores_gemma":[0.2123766,0.0006218991,0.001519377,0.002067438,0.001794239,0.002781793,0.002753105,0.003778573,0.0004684129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144089,"about_ca_system_score_gemma":0.001510311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003004609,"about_ca_topic_score_gemma":0.001157232,"domain_scores_codex":[0.9768203,0.01745426,0.0009124323,0.001450081,0.003020045,0.0003428172],"domain_scores_gemma":[0.8239791,0.1586252,0.005868527,0.006871254,0.004283669,0.0003723495],"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":[0.0002342916,0.00008481056,0.01467068,0.0005032007,0.0007317315,0.0001929069,0.0003972928,0.6765733,0.0008778701,0.1368759,0.002818418,0.1660396],"study_design_scores_gemma":[0.00002430371,0.00009410927,0.002266526,0.0001781818,0.00006885588,0.0001136559,0.00005188872,0.8776284,0.0008865338,0.117017,0.001623866,0.00004655185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005352147,0.0006768222,0.9930875,0.0002470247,0.0000375277,0.00003059927,0.0000843982,0.0001423842,0.0003415765],"genre_scores_gemma":[0.4886453,0.002852198,0.5031914,0.0003893944,0.0002903043,0.0006887639,0.001373012,0.0002767993,0.002292745],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04652935,"threshold_uncertainty_score":0.2460737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1583484696396089,"score_gpt":0.4554854130861057,"score_spread":0.2971369434464969,"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."}}