{"id":"W4364354467","doi":"10.1080/00324728.2023.2181383","title":"Increases in child marriage among the poorest in Mali: ‘Reverse policies’ or data quality issues?","year":2023,"lang":"en","type":"article","venue":"Population Studies","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council; Weatherhead Center for International Affairs, Harvard University; Social Sciences and Humanities Research Council of Canada; Horizon 2020 Framework Programme; Max-Planck-Gesellschaft; Jacobs Foundation; University of Pennsylvania; York University; McGill University; New York University Abu Dhabi; National Science Foundation","keywords":"Child marriage; Data collection; Demographic economics; Developing country; Economic growth; Demography; Psychology; Socioeconomics; Development economics; Political science; Economics; Sociology; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.02416181,0.0001739794,0.0003414428,0.001400269,0.001259748,0.001843317,0.001208865,0.0005115499,0.003942383],"category_scores_gemma":[0.09881182,0.0002765666,0.0004152885,0.003807985,0.002234151,0.002007726,0.002315097,0.001118782,0.0002151815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262091,"about_ca_system_score_gemma":0.002145025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0454067,"about_ca_topic_score_gemma":0.06815812,"domain_scores_codex":[0.976342,0.01823627,0.001693433,0.001136293,0.001583853,0.001008178],"domain_scores_gemma":[0.9046655,0.04544033,0.03269939,0.009654006,0.006330567,0.001210228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000085205,0.00002673241,0.9555696,0.0005514609,0.0001653217,0.0001391597,0.01248755,0.0001380394,0.0002306248,0.002562958,0.003086447,0.02495687],"study_design_scores_gemma":[0.00001060481,0.00005630548,0.9674832,0.00105236,0.0001014016,0.0001975955,0.01398,0.0004192431,0.0006823749,0.001367738,0.01461935,0.00002982558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941963,0.004532383,0.007854977,0.02821553,0.0002264579,0.0002858025,0.00709433,0.00008183352,0.00974575],"genre_scores_gemma":[0.9921409,0.000860087,0.003325661,0.002011535,0.00007098229,0.000151718,0.0008799965,0.00002331469,0.0005357511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0454067,"threshold_uncertainty_score":0.1277813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2058309200736201,"score_gpt":0.4808655782756462,"score_spread":0.2750346582020261,"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."}}