{"id":"W4398518787","doi":"10.7910/dvn/ceq1ol","title":"Replication Data for: Biomarkers of post-discharge mortality among children with complicated severe acute malnutrition","year":2021,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"Wellcome Trust","keywords":"Replication (statistics); Severe Acute Malnutrition; Malnutrition; Medicine; Pediatrics; Intensive care medicine; Gerontology; Internal medicine; Virology","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":[0.01245494,0.001366938,0.001304602,0.0008437741,0.001222283,0.001998496,0.001927838,0.001817852,0.1072888],"category_scores_gemma":[0.06321903,0.0009013802,0.001709994,0.002101631,0.0005897105,0.001241295,0.001414328,0.002319953,0.01977335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000726174,"about_ca_system_score_gemma":0.00350813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007286842,"about_ca_topic_score_gemma":0.008023147,"domain_scores_codex":[0.9945681,0.002389343,0.0009147071,0.0009354856,0.0007563381,0.0004360302],"domain_scores_gemma":[0.9794661,0.004081049,0.002204172,0.009244078,0.004026373,0.0009781466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04203225,0.0009189405,0.04312193,0.00671234,0.002656569,0.000596746,0.0007222814,0.0009228495,0.003134744,0.003788528,0.8515342,0.04385871],"study_design_scores_gemma":[0.1311363,0.007571261,0.318483,0.003247714,0.005171061,0.001159996,0.0007904629,0.002690139,0.004193001,0.008881855,0.5163125,0.0003625819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0263027,0.000760529,0.006941135,0.002077271,0.002590788,0.02229188,0.9147911,0.001014912,0.02322971],"genre_scores_gemma":[0.2052684,0.0007193335,0.02662063,0.00234141,0.0007989162,0.1671537,0.5450643,0.001492637,0.05054057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1072888,"threshold_uncertainty_score":0.3589168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189976832368017,"score_gpt":0.2982887529003082,"score_spread":0.266388984576628,"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."}}