{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003269564,0.0001330483,0.0001636558,0.0001756552,0.001012809,0.0001633648,0.0002705094,0.00001539262,0.00001741474],"category_scores_gemma":[0.00002241333,0.0001092279,0.00002407362,0.0007719325,0.0005382933,0.001959424,0.0001035276,0.0001325489,0.000001437855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000751,"about_ca_system_score_gemma":0.00002331892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009908593,"about_ca_topic_score_gemma":0.0000981978,"domain_scores_codex":[0.9983446,0.00007895532,0.0002170769,0.0004389839,0.0006616407,0.0002587155],"domain_scores_gemma":[0.999432,0.00002176892,0.0001770574,0.0001941604,0.00009287561,0.00008211075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008537791,0.00006168534,0.9879682,0.00006181541,0.000008361926,0.000001411978,0.0007113512,0.001193934,0.001333025,0.000267425,0.00001755707,0.008289872],"study_design_scores_gemma":[0.0008324982,0.000184456,0.9784818,0.00006143139,0.00003538182,0.00009517735,0.0007524064,0.0001596502,0.01681506,0.00177441,0.0005594926,0.000248177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959735,0.002254437,0.00006904588,0.0004657196,0.000363812,0.0005487287,0.00004194595,0.00008522999,0.0001975585],"genre_scores_gemma":[0.9994071,0.00004931532,0.0001859926,0.0001181736,0.00008538761,0.00009366604,0.00003769634,0.000008335734,0.00001429951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548204,"threshold_uncertainty_score":0.7789807,"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."}}