{"id":"W2902122135","doi":"10.1016/j.clnu.2018.11.016","title":"Malnutrition according to ESPEN definition predicts long-term mortality in general older population: Findings from the EPIDOS study-Toulouse cohort","year":2018,"lang":"en","type":"article","venue":"Clinical Nutrition","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"European Society for Clinical Nutrition and Metabolism; Eli Lilly and Company","keywords":"Medicine; Malnutrition; Cohort; Population; Gerontology; Cohort study; Confounding; Clinical nutrition; Prospective cohort study; Pediatrics; Internal medicine; Environmental health","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":[0.001197201,0.0007810244,0.0008418883,0.001476664,0.0005356391,0.001068995,0.0006071661,0.0008620396,0.001421496],"category_scores_gemma":[0.001948406,0.0003635635,0.001319735,0.001392176,0.0003155831,0.0006403752,0.001221483,0.000560598,0.0002152146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005455891,"about_ca_system_score_gemma":0.0003782205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01631862,"about_ca_topic_score_gemma":0.01179449,"domain_scores_codex":[0.9994911,0.0001345048,0.00005302599,0.0001609769,0.00006487748,0.00009545161],"domain_scores_gemma":[0.9994851,0.00008456816,0.0001659967,0.00008840027,0.00007937023,0.00009657803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002914468,0.00005512509,0.9977136,0.0000150601,0.0002779144,0.0001076008,0.0001057495,0.00008015376,0.0001158005,0.0000365449,0.0002318687,0.0009690868],"study_design_scores_gemma":[0.00001407983,0.00004833141,0.9993294,0.000008575112,0.00006720507,0.0001075748,0.0001595438,0.00007695597,0.00001519809,0.00002530486,0.000144759,0.000003116491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979166,0.0003716728,0.00007612947,0.00005028339,0.00001058052,0.000007249469,0.001229932,0.000004106895,0.0003334233],"genre_scores_gemma":[0.9976977,0.0002061601,0.00007611785,0.00003787331,0.00002102718,0.00001438554,0.001718177,0.000003678129,0.0002249238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01631862,"threshold_uncertainty_score":0.03244728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1711683436015871,"score_gpt":0.4639535844001998,"score_spread":0.2927852407986127,"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."}}