{"id":"W1991669793","doi":"10.4103/0974-2700.44774","title":"Evaluating the validity of multiple imputation for missing physiological data in the national trauma data bank","year":2009,"lang":"en","type":"article","venue":"Journal of Emergencies Trauma and Shock","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital de l'Enfant-Jésus; McGill University","funders":"","keywords":"Missing data; Imputation (statistics); Quartile; Data set; Statistics; Medicine; Data mining; Computer science; Confidence interval; 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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2686993,0.0006747555,0.00123127,0.002510888,0.001273265,0.00239446,0.002798318,0.00132637,0.001169971],"category_scores_gemma":[0.5538515,0.0007252628,0.002751789,0.005881953,0.0019997,0.001910156,0.002919089,0.001743615,0.0003149834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159404,"about_ca_system_score_gemma":0.003585575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00605252,"about_ca_topic_score_gemma":0.002963675,"domain_scores_codex":[0.6120051,0.3446714,0.01716597,0.008356689,0.0161008,0.001699966],"domain_scores_gemma":[0.2220638,0.6716377,0.0414745,0.04700122,0.01638043,0.001442349],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001574618,0.0001770628,0.9491737,0.0002941483,0.002546678,0.0001260501,0.0009202772,0.01622363,0.000149203,0.001870004,0.001521966,0.02542266],"study_design_scores_gemma":[0.0005525247,0.002609322,0.7469353,0.001030419,0.002117276,0.000636856,0.001631705,0.2280545,0.002495626,0.008478592,0.005307706,0.0001502294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8139609,0.001368894,0.1713621,0.00262472,0.0002910551,0.001442763,0.004931246,0.0002439558,0.003774345],"genre_scores_gemma":[0.9563555,0.000175206,0.03885598,0.0003371538,0.00007812254,0.001029502,0.002964163,0.00004085604,0.0001635332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7313007,"threshold_uncertainty_score":0.9018239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4517229856410372,"score_gpt":0.469727689841682,"score_spread":0.01800470420064476,"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."}}