{"id":"W4289783327","doi":"10.1038/s41592-022-01563-7","title":"Survival analysis—time-to-event data and censoring","year":2022,"lang":"en","type":"article","venue":"Nature Methods","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Censoring (clinical trials); Event data; Computational biology; Computer science; Event (particle physics); Survival analysis; Biology; Statistics; Data science; 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":[0.06576665,0.001424986,0.003584236,0.002330639,0.001298258,0.003252133,0.005156701,0.004068292,0.009553938],"category_scores_gemma":[0.1301665,0.001028396,0.003960515,0.003670632,0.002988703,0.003256002,0.002846473,0.004973005,0.001484766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425652,"about_ca_system_score_gemma":0.002341017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725487,"about_ca_topic_score_gemma":0.002956369,"domain_scores_codex":[0.9642081,0.02168051,0.003099493,0.005851779,0.003004797,0.002155308],"domain_scores_gemma":[0.8808638,0.07668729,0.006518892,0.03233206,0.002406556,0.001191444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007610673,0.0007427306,0.2852308,0.002647798,0.007162427,0.003742188,0.001935813,0.09751214,0.00579319,0.2162654,0.02598693,0.34537],"study_design_scores_gemma":[0.0007091228,0.001415321,0.1148035,0.0006941528,0.002616069,0.00425396,0.0006113018,0.3966853,0.00656051,0.4294552,0.04182157,0.0003741036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09223425,0.004198407,0.8841002,0.002891016,0.001173999,0.0006619305,0.009659373,0.001418873,0.003661941],"genre_scores_gemma":[0.8741414,0.002218107,0.08983207,0.001693383,0.001201932,0.002460384,0.01329118,0.0007657087,0.01439581],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06576665,"threshold_uncertainty_score":0.3478115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856794042335268,"score_gpt":0.3790974832928449,"score_spread":0.3605295428694922,"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."}}