{"id":"W2178055896","doi":"10.1136/archdischild-2015-309353","title":"Large-scale data reporting of paediatric morbidity and mortality in developing countries: it can be done","year":2015,"lang":"en","type":"article","venue":"Archives of Disease in Childhood","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Canadian Institutes of Health Research; Parkinson Canada; Wellcome Trust; National Institutes of Health; University of Dundee","keywords":"Medicine; Psychological intervention; Developing country; Child mortality; Data collection; Public health; Environmental health; Health care; Data quality; Scale (ratio); Health policy; Medical emergency; Nursing; Population; Economic growth; Operations management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07459069,0.001144634,0.00115297,0.009479039,0.0008328597,0.003760242,0.002848572,0.001260181,0.003482501],"category_scores_gemma":[0.1495724,0.0008889219,0.000866833,0.01933942,0.001498829,0.005010135,0.00551948,0.001602399,0.001791048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498274,"about_ca_system_score_gemma":0.007644014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326628,"about_ca_topic_score_gemma":0.01774978,"domain_scores_codex":[0.9333725,0.03947646,0.01209146,0.004733248,0.009218281,0.001107941],"domain_scores_gemma":[0.8091003,0.05577711,0.04324281,0.05334142,0.03337283,0.005165467],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002304434,0.0001945429,0.4801176,0.005356589,0.0005741763,0.0003802705,0.003437862,0.001076791,0.002157035,0.002242054,0.08466771,0.4195649],"study_design_scores_gemma":[0.0001391353,0.000335631,0.8635501,0.006040728,0.0002561355,0.0005845616,0.003684993,0.00159593,0.002099247,0.00346138,0.1180092,0.0002430604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.251087,0.04719568,0.1444913,0.09024479,0.008686771,0.02169121,0.3526545,0.00698089,0.07696789],"genre_scores_gemma":[0.5524842,0.02644314,0.2688916,0.009373724,0.003306104,0.01486922,0.1191125,0.0008172921,0.004702216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9254093,"threshold_uncertainty_score":0.394478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05161590619575199,"score_gpt":0.3341304809966753,"score_spread":0.2825145748009233,"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."}}