{"id":"W3161655502","doi":"10.1002/sim.9023","title":"Fine‐Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: Cumulative total failure probability may exceed 1","year":2021,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Institute for Clinical Evaluative Sciences; Sunnybrook Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Heart and Stroke Foundation of Canada","keywords":"Covariate; Hazard; Cumulative incidence; Statistics; Hazard ratio; Proportional hazards model; Event (particle physics); Mathematics; Confidence interval","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":[],"category_scores_codex":[0.007321242,0.0002317651,0.001090131,0.0001392834,0.0001280823,0.00002087678,0.0002117566,0.0001090991,0.0004096394],"category_scores_gemma":[0.01506068,0.0002023349,0.00006456511,0.0003094856,0.000187543,0.00009217657,0.00008655357,0.0003068168,0.00009542184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006360494,"about_ca_system_score_gemma":0.0001610592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001526683,"about_ca_topic_score_gemma":0.005898933,"domain_scores_codex":[0.9951498,0.0005316672,0.003191941,0.0005350134,0.0002120947,0.0003794908],"domain_scores_gemma":[0.994462,0.003123047,0.001347999,0.0006013198,0.0003000073,0.000165611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001452425,0.0004331595,0.04268241,0.001070956,0.0002693311,0.00002222573,0.01360069,0.2604077,0.00002262384,0.6528578,0.02737612,0.001111696],"study_design_scores_gemma":[0.001407848,0.0002900899,0.07822025,0.0003342454,0.00005226754,0.0000090304,0.001177737,0.4498238,0.00002012946,0.4672532,0.001079932,0.000331537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5150121,0.0006111966,0.4540407,0.02177214,0.0005873911,0.001323828,0.00615021,0.00002715455,0.0004752587],"genre_scores_gemma":[0.9832871,0.00005665266,0.01520771,0.0005138211,0.0001546378,0.0000847079,0.0003750536,0.00002306774,0.0002972493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.468275,"threshold_uncertainty_score":0.9932359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1656706911041427,"score_gpt":0.424509132072259,"score_spread":0.2588384409681164,"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."}}