{"id":"W1967297070","doi":"10.1016/j.socscimed.2005.11.034","title":"Challenges to the reproductive-health needs of African women: On religion and maternal health utilization in Ghana","year":2006,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":195,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre","funders":"","keywords":"Fertility; Context (archaeology); Reproductive health; Child mortality; Family planning; Developing country; Population; Economic growth; Environmental health; Sociology; Socioeconomics; Medicine; Geography; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178604,0.0001473608,0.0002401372,0.0003559154,0.001768649,0.001004261,0.0004622882,0.0007715626,0.002973293],"category_scores_gemma":[0.004561151,0.0002256036,0.0001745781,0.001174963,0.001351827,0.001330968,0.001803766,0.001115664,0.0001105628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216104,"about_ca_system_score_gemma":0.003990722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06758317,"about_ca_topic_score_gemma":0.1500885,"domain_scores_codex":[0.9992408,0.0004354463,0.00003385761,0.00002179604,0.00003613681,0.0002320527],"domain_scores_gemma":[0.9978473,0.0007826636,0.0007157868,0.00002987618,0.0001586764,0.0004657567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002797683,0.0002226093,0.8285432,0.000480474,0.00005543214,0.003314054,0.1213725,0.0001492306,0.000694309,0.004129619,0.002721173,0.03803762],"study_design_scores_gemma":[0.00003982262,0.0001464545,0.6102396,0.000677397,0.00004694091,0.0009489947,0.3801599,0.0001741766,0.0001163611,0.001485581,0.005947445,0.00001732499],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856443,0.001442474,0.00002208614,0.01132795,0.00001893139,0.000008759259,0.00005439295,4.966354e-7,0.001480576],"genre_scores_gemma":[0.9978827,0.001455701,0.00003809589,0.0004014354,0.00001517221,0.000008786798,0.00001321434,6.489959e-7,0.000184314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06758317,"threshold_uncertainty_score":0.1343796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03588313520514577,"score_gpt":0.3429226806147362,"score_spread":0.3070395454095904,"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."}}