{"id":"W3200455051","doi":"10.1097/pcc.0000000000002835","title":"Prediction Model Performance With Different Imputation Strategies: A Simulation Study Using a North American ICU Registry","year":2021,"lang":"en","type":"article","venue":"Pediatric Critical Care Medicine","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"Missing data; Imputation (statistics); Medicine; Statistics; Logistic regression; Regression; Mean squared error; Data mining; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000167151,0.0002407208,0.0004576645,0.00009894306,0.0001648367,0.00005080445,0.00009069536,0.00004672457,0.00003606399],"category_scores_gemma":[0.002237243,0.0001729295,0.0000341303,0.0006322876,0.0001965541,0.0001501425,0.0000412353,0.0002879816,7.900658e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283887,"about_ca_system_score_gemma":0.000217592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004823064,"about_ca_topic_score_gemma":0.00009285036,"domain_scores_codex":[0.9978849,0.0001787046,0.0004981383,0.0004405162,0.0006852789,0.0003124311],"domain_scores_gemma":[0.9970134,0.001606697,0.000127817,0.0003194513,0.000741644,0.0001909789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004713664,0.001700824,0.8895407,0.004280859,0.00009157067,0.0003555623,0.01590824,0.02709631,0.00006151202,0.01821755,0.0000974679,0.04217803],"study_design_scores_gemma":[0.00120709,0.002072807,0.1586541,0.00009282558,0.00115674,0.00002889952,0.01634992,0.8063278,0.000009142256,0.01377407,0.000001455113,0.0003250958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5036698,0.00003909368,0.4958463,0.0000501154,0.00006142973,0.0001677983,0.00002497601,0.00005032042,0.00009014662],"genre_scores_gemma":[0.9109323,0.00001716227,0.0883918,0.00003500166,0.0005332798,0.00002825202,0.00003064005,0.00002603137,0.000005552525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7792315,"threshold_uncertainty_score":0.7051859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07993944460828359,"score_gpt":0.4049749633038209,"score_spread":0.3250355186955374,"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."}}