{"id":"W2945603311","doi":"10.1016/s2214-109x(19)30080-4","title":"National, regional, and state-level all-cause and cause-specific under-5 mortality in India in 2000–15: a systematic analysis with implications for the Sustainable Development Goals","year":2019,"lang":"en","type":"article","venue":"The Lancet Global Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research; Public Health Ontario; University of Toronto","funders":"Johns Hopkins Bloomberg School of Public Health; Johns Hopkins University; World Health Organization; Bill and Melinda Gates Foundation","keywords":"Medicine; Verbal autopsy; Cause of death; Demography; Infant mortality; Measles; Mortality rate; Child mortality; Pediatrics; Environmental health; Population; Disease; Vaccination; Surgery","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":[0.001452489,0.0001520837,0.0006056215,0.00008776962,0.0001571318,0.00004031855,0.0001379115,0.00004087911,0.000004193581],"category_scores_gemma":[0.00002545068,0.00008202263,0.00002446884,0.0007686653,0.00006335232,0.0000625082,0.00004952906,0.0001333749,0.000004037336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009605801,"about_ca_system_score_gemma":0.0009875328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001698437,"about_ca_topic_score_gemma":0.006748973,"domain_scores_codex":[0.9983287,0.0001255958,0.0004732534,0.0002851897,0.0002883251,0.0004988941],"domain_scores_gemma":[0.9989523,0.0002251824,0.0002021696,0.0003244127,0.0001637685,0.0001321633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003221964,0.000127035,0.9284142,0.005217587,0.0007075791,0.00000519241,0.001130403,0.0002978218,9.095392e-7,0.06180245,0.001903171,0.00007150913],"study_design_scores_gemma":[0.001398698,0.00009214992,0.9912165,0.0005411478,0.0001160148,0.00003938077,0.001446219,0.000132356,2.983569e-7,0.004215443,0.0007155719,0.00008619549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649614,0.003713709,0.0002213186,0.02793974,0.00001792771,0.002812978,0.0001348934,0.00001881382,0.0001792134],"genre_scores_gemma":[0.9903405,0.001748929,0.0002647424,0.007199752,0.00003115335,0.0001816095,0.00004347705,0.000007850947,0.0001819786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06280237,"threshold_uncertainty_score":0.3766086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042151403396557,"score_gpt":0.3830314639503548,"score_spread":0.2788163236106991,"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."}}