{"id":"W4283799917","doi":"10.1016/j.worlddev.2022.106005","title":"Marital status and women’s nutrition in Africa","year":2022,"lang":"en","type":"article","venue":"World Development","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"World Bank Group","keywords":"Marital status; Context (archaeology); Developing country; Disadvantage; Welfare; Socioeconomics; Demography; Geography; Demographic economics; Population; Political science; Economics; Economic growth; 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":[0.000583199,0.0001097099,0.000179425,0.0008031165,0.0009951589,0.000922156,0.0002332788,0.0003257015,0.002364373],"category_scores_gemma":[0.00230916,0.0001819225,0.0002025799,0.001695099,0.0005870336,0.0006278142,0.0007087246,0.0004379376,0.00011775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006600551,"about_ca_system_score_gemma":0.0007398849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05069482,"about_ca_topic_score_gemma":0.08652795,"domain_scores_codex":[0.9997109,0.0001241296,0.00001959732,0.00001814912,0.00002612307,0.0001012547],"domain_scores_gemma":[0.9993918,0.0001339312,0.0001989246,0.00001032657,0.00005002315,0.0002149577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001305088,0.0001354673,0.9865246,0.00003806772,0.00005399257,0.0002904366,0.003867871,0.00004069723,0.0001198348,0.0006191775,0.0002472076,0.00793221],"study_design_scores_gemma":[0.00001067164,0.0001276596,0.9865975,0.00008447019,0.00004182064,0.0001920272,0.01051448,0.000104391,0.00005360375,0.0002807936,0.001985286,0.000007367329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951622,0.001997021,0.00001922568,0.0006815274,0.00001868526,0.000003133781,0.00007680437,5.616973e-7,0.0020408],"genre_scores_gemma":[0.9987858,0.0007702697,0.00001482171,0.00004384022,0.000007842112,0.00000167087,0.00001594709,4.380946e-7,0.0003594494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05069482,"threshold_uncertainty_score":0.1007995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396298535321115,"score_gpt":0.2461669098718078,"score_spread":0.2322039245185967,"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."}}