{"id":"W4213158293","doi":"10.1126/sciadv.abj6779","title":"Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; Hospital for Sick Children; University of Toronto","funders":"Medical Research Council; Bill and Melinda Gates Foundation","keywords":"Malnutrition; Medicine; Sepsis; Systemic inflammation; Calprotectin; Inflammation; Acute-phase protein; Population; Severe Acute Malnutrition; Biomarker; Physiology; Internal medicine; Immunology; Disease; Biology; 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":[0.00058595,0.0002437106,0.0003762116,0.0003502757,0.0003080064,0.0004697707,0.000166012,0.0002295404,0.0006535162],"category_scores_gemma":[0.001841738,0.0001914198,0.0002609474,0.0003897784,0.0004310401,0.0002862342,0.0005582197,0.0005246411,0.00004704992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004172327,"about_ca_system_score_gemma":0.000497167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002907846,"about_ca_topic_score_gemma":0.006175763,"domain_scores_codex":[0.9995289,0.0001795071,0.00004493454,0.00008250867,0.00007582361,0.00008845829],"domain_scores_gemma":[0.9991131,0.0001218943,0.0005831074,0.00004497972,0.0000460243,0.000090878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004304011,0.00004844848,0.9963689,0.00002852592,0.00004851159,0.00007308146,0.00008835051,0.00003538588,0.0006150541,0.00002121592,0.00004700766,0.002195075],"study_design_scores_gemma":[0.00001406885,0.0001924599,0.9989511,0.0000122803,0.00003472685,0.0002076725,0.0001786231,0.000146185,0.0001762597,0.00001833594,0.00006590709,0.000002387164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995497,0.0002630437,0.0000479296,0.00002292278,0.000001805628,0.000006237552,0.00004297951,8.752873e-7,0.00006443318],"genre_scores_gemma":[0.9996772,0.0001270265,0.00007865202,0.00001510911,0.000003888501,0.000006702108,0.00006345347,3.980147e-7,0.00002767465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002907846,"threshold_uncertainty_score":0.005781889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009608610087105288,"score_gpt":0.2525652682175812,"score_spread":0.2429566581304759,"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."}}