{"id":"W2129323029","doi":"10.1053/j.ajkd.2011.08.003","title":"In Reply to ‘Missing Data and Multiple Imputation When Predicting Mortality in Incident Dialysis Patients’","year":2011,"lang":"en","type":"article","venue":"American Journal of Kidney Diseases","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"National Health and Medical Research Council; Medical Research Council; FibroGen","keywords":"Missing data; Medicine; Imputation (statistics); Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.02454266,0.002040382,0.003816451,0.002574742,0.00519838,0.007383205,0.00566783,0.06230349,0.006420788],"category_scores_gemma":[0.1927004,0.002633668,0.003325756,0.003805721,0.005783442,0.005473629,0.004835709,0.07805239,0.006497107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003714954,"about_ca_system_score_gemma":0.005372344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008795635,"about_ca_topic_score_gemma":0.01233521,"domain_scores_codex":[0.982452,0.005901183,0.004656423,0.002534492,0.003045855,0.00140993],"domain_scores_gemma":[0.8812383,0.08978689,0.007194816,0.002666046,0.01503672,0.004077274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001049695,0.00002162101,0.0009575248,0.0001934605,0.00009760424,0.0002910111,0.0003242135,0.0001122005,0.00008926558,0.0008713361,0.9929137,0.004022955],"study_design_scores_gemma":[0.0004162978,0.0001217298,0.008710501,0.001831446,0.0005198144,0.001832581,0.00230132,0.00233572,0.0007241068,0.01089857,0.9699033,0.0004046377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002866311,0.001773491,0.0007670625,0.9061617,0.09048104,0.00001799983,0.0002679024,0.00005352802,0.0001906185],"genre_scores_gemma":[0.001686199,0.0009852913,0.000684065,0.9152778,0.07989945,0.00007605537,0.0000900512,0.00005586214,0.001245304],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06230349,"threshold_uncertainty_score":0.1297956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06837940857258862,"score_gpt":0.3645314470103992,"score_spread":0.2961520384378106,"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."}}