{"id":"W2995525649","doi":"10.1186/s12914-019-0219-1","title":"Prevalence of child marriage and its impact on fertility outcomes in 34 sub-Saharan African countries","year":2019,"lang":"en","type":"article","venue":"BMC International Health and Human Rights","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Global Affairs Canada","funders":"","keywords":"Fertility; Public health; Developing country; Environmental health; Child mortality; Medicine; Child health; Economic growth; Socioeconomics; Political science; Demography; Population; Pediatrics; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002404612,0.0001287688,0.0003159255,0.0001027029,0.00008879686,0.00001104412,0.00007554857,0.0000431808,0.0001945499],"category_scores_gemma":[0.00001367075,0.00008286299,0.00004236546,0.00002856495,0.00004231143,0.000071518,0.00002589195,0.0001393311,0.00001583428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043555,"about_ca_system_score_gemma":0.000129066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157717,"about_ca_topic_score_gemma":0.000708648,"domain_scores_codex":[0.9988363,0.00004320823,0.0003509857,0.0002274525,0.0003367985,0.0002052672],"domain_scores_gemma":[0.9994048,0.00005340764,0.0001277703,0.0001122672,0.00008317776,0.0002185714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001023869,0.0001645099,0.9769059,0.001272342,0.0000181926,0.000003151788,0.0002174982,0.000001072426,0.000008738434,0.02025598,0.00009747134,0.00003121584],"study_design_scores_gemma":[0.001572164,0.0007270424,0.9943916,0.0005534163,0.000005066966,0.00001323613,0.000008801072,0.00005524877,0.00006937973,0.001681015,0.0008555836,0.00006748457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937348,0.0006080223,4.738627e-7,0.001524032,0.0001292602,0.0004970843,0.0001141282,0.00001245535,0.00337968],"genre_scores_gemma":[0.9979912,0.0001433585,0.000009203546,0.001005233,0.0000484601,0.000005074148,0.00001317975,0.000005286969,0.0007790226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01857496,"threshold_uncertainty_score":0.3379055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014400227171034,"score_gpt":0.3307693087688783,"score_spread":0.3163690815978443,"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."}}