{"id":"W2747399005","doi":"10.1136/bmj.j3677","title":"Estimates of burden and consequences of infants born small for gestational age in low and middle income countries with INTERGROWTH-21<sup>st</sup>standard: analysis of CHERG datasets","year":2017,"lang":"en","type":"article","venue":"BMJ","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":389,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Carolina Population Center, University of North Carolina at Chapel Hill; National Institute of Child Health and Human Development; UNICEF; Centers for Disease Control and Prevention; United States Agency for International Development; National Institutes of Health; Bill and Melinda Gates Foundation; Nutrition Third World; Thailand Research Fund; Johns Hopkins Bloomberg School of Public Health; Wellcome Trust; Eunice Kennedy Shriver National Institute of Child Health and Human Development; World Health Organization; European Commission","keywords":"Gestational age; Low and middle income countries; Medicine; Small for gestational age; Demography; Pediatrics; Pregnancy; Developing country; Economics; Biology; Economic growth; Genetics","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":[0.005505988,0.0006505985,0.0008532429,0.002741027,0.0002257346,0.0007116388,0.001397176,0.0008507347,0.001015539],"category_scores_gemma":[0.01318214,0.0003791031,0.002161998,0.006079017,0.0002767148,0.0006233251,0.002467155,0.00064734,0.0003012016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173354,"about_ca_system_score_gemma":0.001966932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1223072,"about_ca_topic_score_gemma":0.08971153,"domain_scores_codex":[0.9965944,0.001786969,0.0003546159,0.0004113877,0.0005208088,0.00033184],"domain_scores_gemma":[0.993874,0.00134069,0.002378276,0.0008447894,0.001224543,0.0003377276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005021837,0.00003657577,0.9517555,0.00085827,0.003126539,0.0001485245,0.0001965494,0.004805774,0.0001740681,0.0008409547,0.02731199,0.01024322],"study_design_scores_gemma":[0.0001216589,0.00005520448,0.9909139,0.000278568,0.0004359513,0.0001576715,0.000195471,0.002265099,0.0001163894,0.0002151232,0.005217084,0.00002791048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5524939,0.004145385,0.002123042,0.001632871,0.00006527038,0.0003337878,0.4365857,0.0001494885,0.002470656],"genre_scores_gemma":[0.6743379,0.002779045,0.005919725,0.0007249821,0.00005437174,0.0009580256,0.3146691,0.00004500681,0.0005118048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1223072,"threshold_uncertainty_score":0.2431905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390653118813021,"score_gpt":0.311639645751551,"score_spread":0.2877331145634208,"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."}}