{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03101232,0.0010713,0.001324346,0.001063131,0.0009384736,0.001163971,0.00220666,0.002092661,0.00133044],"category_scores_gemma":[0.05627919,0.0008314261,0.002037816,0.001743877,0.000988815,0.001495804,0.001291038,0.002295059,0.0001781636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002709535,"about_ca_system_score_gemma":0.002908076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0350054,"about_ca_topic_score_gemma":0.01967473,"domain_scores_codex":[0.9915583,0.007050969,0.0002875387,0.000534163,0.0002846238,0.0002843606],"domain_scores_gemma":[0.8913063,0.09255455,0.004901233,0.004942956,0.005035052,0.001259879],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002200646,0.001894074,0.1226484,0.000161167,0.0007385677,0.0003378096,0.0004754336,0.8577486,0.0002845791,0.001713031,0.001617433,0.01018023],"study_design_scores_gemma":[0.0006171913,0.0009136592,0.01223675,0.00004586049,0.0001673942,0.00008377395,0.0002227326,0.9841564,0.0003701481,0.0008774659,0.0002692157,0.00003934885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894526,0.0001834542,0.00834104,0.0003991098,0.00001547715,0.0002227234,0.0005469288,0.00009043171,0.0007482824],"genre_scores_gemma":[0.9848475,0.0001489484,0.01334741,0.0001120057,0.00001251082,0.0003796745,0.0008911935,0.00001959883,0.0002410724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9689877,"threshold_uncertainty_score":0.1640108,"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."}}