{"id":"W4213420279","doi":"10.1016/j.maturitas.2021.11.016","title":"Effects of malnutrition on mortality in oldest-old inpatients with COVID-19 in the GERIA-COVID cohort","year":2022,"lang":"en","type":"article","venue":"Maturitas","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Eli Lilly and Company","keywords":"Medicine; Malnutrition; Cohort; Confounding; Coronavirus disease 2019 (COVID-19); Pediatrics; Cohort study; Body mass index; Internal medicine; Disease; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007802899,0.0001035219,0.0002581689,0.0002361405,0.00009313869,0.000007503454,0.0001014025,0.0000438745,0.0001272885],"category_scores_gemma":[0.0001335934,0.00007941545,0.00003372108,0.0004899952,0.00004636644,0.00003411522,0.00003124904,0.0004223713,0.000003769673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003752114,"about_ca_system_score_gemma":0.0001251437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005827388,"about_ca_topic_score_gemma":0.00008304429,"domain_scores_codex":[0.9984933,0.0003016703,0.0002898911,0.0002171953,0.0004932249,0.0002047238],"domain_scores_gemma":[0.9992938,0.0002452308,0.00009390067,0.0002431418,0.00001956646,0.0001043699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001726792,0.002321243,0.981346,0.003804028,0.00002362395,0.0006646884,0.002397975,0.00006426489,0.0005922121,0.00205916,0.004892549,0.0001074567],"study_design_scores_gemma":[0.00654856,0.0009194828,0.983735,0.0003141615,0.00003791546,0.00005266105,0.0005117129,0.00004238565,0.0006253615,0.001137924,0.005966715,0.0001081555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930357,0.0001894299,0.00000825235,0.004267646,0.0001124782,0.001598584,0.00003520376,0.0000278601,0.0007247918],"genre_scores_gemma":[0.9834945,0.00003775181,0.0001503907,0.0156833,0.00003453555,0.0004467663,0.0001050646,0.00001183691,0.00003590365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141566,"threshold_uncertainty_score":0.3238468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030166961435348,"score_gpt":0.3373719880316801,"score_spread":0.3070703184173266,"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."}}