{"id":"W2519910803","doi":"10.1016/s2214-109x(16)30204-2","title":"Countdown to 2030 for reproductive, maternal, newborn, child, and adolescent health and nutrition","year":2016,"lang":"en","type":"article","venue":"The Lancet Global Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation","funders":"World Health Organization","keywords":"Countdown; Child survival; Tanzania; Child mortality; Millennium Development Goals; Environmental health; Developing country; Reproductive health; Psychological intervention; Economic growth; China; Child health; Medicine; Geography; Socioeconomics; Pediatrics; Population; Nursing; Sociology","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":[0.008090327,0.002328953,0.001275052,0.004087734,0.001722148,0.0038647,0.003513379,0.004238354,0.06950029],"category_scores_gemma":[0.01987324,0.0005086525,0.001844319,0.00293389,0.0007817667,0.003765228,0.007959942,0.005915643,0.02854425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004982497,"about_ca_system_score_gemma":0.02097385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04258467,"about_ca_topic_score_gemma":0.03163777,"domain_scores_codex":[0.993138,0.001546804,0.0003746083,0.0003865649,0.003300482,0.001253465],"domain_scores_gemma":[0.9860896,0.001751545,0.00126948,0.0004923059,0.00642312,0.003974052],"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":[0.0001076431,0.00002784426,0.000469431,0.0006814004,0.00002246565,0.00004128107,0.00006413046,0.00007698569,0.0002126148,0.003577979,0.9536095,0.04110875],"study_design_scores_gemma":[0.00003866523,0.00005898251,0.004359921,0.000879616,0.00002391597,0.00005285303,0.0001133038,0.000117255,0.0003270708,0.001190243,0.9928194,0.00001890962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006519232,0.05051524,0.009714065,0.3334224,0.1206288,0.001925583,0.2655512,0.005770243,0.2059532],"genre_scores_gemma":[0.07015586,0.06231625,0.03777285,0.2430954,0.02214517,0.007683808,0.2751653,0.002986542,0.2786787],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06950029,"threshold_uncertainty_score":0.2325017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548892837695045,"score_gpt":0.3448410310159116,"score_spread":0.3193521026389612,"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."}}