{"id":"W4402666645","doi":"10.1097/cce.0000000000001152","title":"Statistical Power and Performance of Strategies to Analyze Composites of Survival and Duration of Ventilation in Clinical Trials","year":2024,"lang":"en","type":"article","venue":"Critical Care Explorations","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; SickKids Foundation; University of Toronto; University Health Network; Institute for Clinical Evaluative Sciences; Public Health Ontario; The Scarborough Hospital; Hospital for Sick Children","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; University of Toronto; Natural Sciences and Engineering Research Council of Canada; University College London","keywords":"Statistics; Medicine; Wilcoxon signed-rank test; Odds; Poisson regression; Proportional hazards model; Ventilation (architecture); Type I and type II errors; Odds ratio; Emergency medicine; Mathematics; Logistic regression; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004845033,0.00005899755,0.0003780635,0.0001132029,0.00001546362,0.00001868733,0.00001278554,0.00004517228,0.00003156384],"category_scores_gemma":[0.001164409,0.00004787056,0.0000434135,0.000143141,0.0001369635,0.0001269405,0.00001296398,0.00005639497,8.68973e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001291695,"about_ca_system_score_gemma":0.00007387068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001204098,"about_ca_topic_score_gemma":0.00003250764,"domain_scores_codex":[0.9988469,0.0001348878,0.0006920351,0.0001330537,0.0001348024,0.00005828976],"domain_scores_gemma":[0.9979484,0.001681589,0.00003489888,0.00007746008,0.0001965151,0.00006111628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008415957,0.0009709083,0.6585213,0.002378328,0.0001817175,0.00002305557,0.005893274,0.00006935369,0.01128958,0.3071752,0.0001690852,0.01248662],"study_design_scores_gemma":[0.0005862422,0.001858194,0.9818191,0.0004544699,0.0003064714,0.000002372079,0.005806154,0.001504763,0.007002782,0.0005733421,0.00002616936,0.00005996065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946031,0.001130264,0.003009247,0.0006764437,0.00009113637,0.0002279921,0.00009690228,0.000006536472,0.0001583724],"genre_scores_gemma":[0.9977577,0.0001270563,0.001984598,0.000009640022,0.00002166578,0.00002055119,0.00007281147,0.000004772795,0.000001242172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3232978,"threshold_uncertainty_score":0.1952105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2393153047010645,"score_gpt":0.5041314804140098,"score_spread":0.2648161757129453,"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."}}