{"id":"W3108941714","doi":"10.3390/nu12113593","title":"Childhood Malnutrition and Association of Lean Mass with Metabolome and Hormone Profile in Later Life","year":2020,"lang":"en","type":"article","venue":"Nutrients","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Medical Research Council; National Institute for Health and Care Research; Wellcome Trust","keywords":"Metabolome; Malnutrition; Lean body mass; Association (psychology); Hormone; Biology; Medicine; Gerontology; Endocrinology; Physiology; Bioinformatics; Metabolomics; Psychology; Internal medicine; Body weight","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":[0.0002919075,0.0002452696,0.0002091356,0.0003408002,0.0002529086,0.0003858993,0.0001480244,0.0001996092,0.0007877132],"category_scores_gemma":[0.0009129299,0.0001457748,0.0001869126,0.0004621849,0.0002138908,0.000193651,0.0004054727,0.0004039873,0.00008929175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002629356,"about_ca_system_score_gemma":0.0002978764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009027827,"about_ca_topic_score_gemma":0.01739941,"domain_scores_codex":[0.9998733,0.00003476909,0.000008832415,0.0000347184,0.0000175961,0.00003073827],"domain_scores_gemma":[0.9996346,0.00005291297,0.0002033459,0.000031127,0.00003291663,0.00004516689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001754643,0.00002622767,0.9956352,0.00001505821,0.00005766405,0.0000841524,0.0001672324,0.00006333151,0.001489847,0.00003804041,0.00002969594,0.002218106],"study_design_scores_gemma":[7.070432e-7,0.00004207972,0.9994949,0.000003174713,0.00001171159,0.00005280098,0.00008030897,0.0001047927,0.0001132819,0.00001402421,0.00008123533,9.327115e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993981,0.0002668937,0.00009280237,0.00001979092,0.000001626643,0.000001607953,0.0001245998,0.000001461017,0.00009303312],"genre_scores_gemma":[0.9993729,0.0001297441,0.0001343736,0.000008036233,0.000001978279,0.000003018109,0.0001306281,7.876978e-7,0.0002186547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009027827,"threshold_uncertainty_score":0.01795059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549694856182135,"score_gpt":0.2512556361121941,"score_spread":0.2357586875503727,"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."}}