{"id":"W3113226408","doi":"10.1186/s12884-020-03470-1","title":"Drivers of desire for more children among childbearing women in sub-Saharan Africa: implications for fertility control","year":2020,"lang":"en","type":"article","venue":"BMC Pregnancy and Childbirth","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Global Affairs Canada","funders":"","keywords":"Medicine; Demography; Fertility; Reproductive medicine; Odds ratio; Confidence interval; Logistic regression; Odds; Family planning; Population; Pregnancy; Environmental health; Research methodology","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":[0.0001455424,0.0001518059,0.0004503837,0.00007752594,0.0001076038,0.000006735016,0.0001087845,0.0001057046,0.000001591289],"category_scores_gemma":[0.0005185203,0.0001324711,0.00008325518,0.0001712402,0.000182596,0.00008808723,0.00003237613,0.0001417391,3.483694e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003985754,"about_ca_system_score_gemma":0.00009862027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007911593,"about_ca_topic_score_gemma":0.000006327644,"domain_scores_codex":[0.9987291,0.00001899532,0.0003233821,0.0004603622,0.00006970443,0.0003984703],"domain_scores_gemma":[0.9992493,0.00008810543,0.0001261758,0.0003027947,0.0000719396,0.0001616889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000609723,0.0001240947,0.988073,0.0006388117,0.00005069857,2.396935e-7,0.0006213312,0.00001272331,0.0002890442,0.0004890704,0.00003956315,0.00905168],"study_design_scores_gemma":[0.004248214,0.000420215,0.9918942,0.0003112144,0.00003584347,0.000002522296,0.0001032486,0.0001147633,0.001165797,0.001528781,0.00006098955,0.0001141926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985627,0.005934735,0.003096746,0.001342855,0.00001582247,0.003604002,0.0001973792,0.0001054535,0.00007600211],"genre_scores_gemma":[0.9976535,0.0004333374,0.0009270599,0.00009960766,0.00003894448,0.0007882231,0.00003276724,0.00001830762,0.000008281592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01202647,"threshold_uncertainty_score":0.5402016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03634973655985357,"score_gpt":0.2719306757551722,"score_spread":0.2355809391953186,"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."}}