{"id":"W3027470372","doi":"10.1016/j.jpeds.2020.05.016","title":"Performance of Pediatric Mortality Prediction Models in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis","year":2020,"lang":"en","type":"review","venue":"The Journal of Pediatrics","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; Mount Sinai Hospital; McGill University; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Meta-analysis; Low and middle income countries; Econometrics; Demography; Medicine; Economics; Developing country; Sociology; Economic growth; Internal medicine","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":[0.01317908,0.003477327,0.01772256,0.00414289,0.0005195074,0.003405682,0.002517157,0.002355239,0.002805363],"category_scores_gemma":[0.02898572,0.001820973,0.04374554,0.004928248,0.0007405565,0.002192682,0.001848137,0.002621121,0.0003393309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717334,"about_ca_system_score_gemma":0.00279904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007453088,"about_ca_topic_score_gemma":0.01603924,"domain_scores_codex":[0.9929588,0.002917921,0.002118401,0.001061248,0.0006779082,0.0002658086],"domain_scores_gemma":[0.9807947,0.01494643,0.00246443,0.0006642381,0.0009346529,0.0001955242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002515317,0.00004428011,0.01244474,0.1446855,0.8242454,0.000084873,0.00008459493,0.0007966123,0.0001462662,0.00009812838,0.0005143801,0.01433998],"study_design_scores_gemma":[0.0005185774,0.0001507052,0.005565636,0.007648945,0.98485,0.00006371027,0.00004913514,0.0002894411,0.00007339514,0.0001313998,0.0006322131,0.00002675069],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01026719,0.9881946,0.0005108532,0.0001408622,0.0001188424,0.0000753809,0.0005441895,0.00002821693,0.0001198742],"genre_scores_gemma":[0.3310109,0.6626068,0.00312875,0.0009570257,0.0003041066,0.0003448282,0.001360343,0.00005574639,0.0002313705],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01772256,"threshold_uncertainty_score":0.06969845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1911019463924762,"score_gpt":0.3700262758567193,"score_spread":0.1789243294642432,"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."}}