{"id":"W2783265644","doi":"10.1002/ijgo.12435","title":"Community member and policy maker priorities in improving maternal health in rural Tanzania","year":2018,"lang":"en","type":"article","venue":"International Journal of Gynecology & Obstetrics","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère","funders":"Canadian Institutes of Health Research; Global Affairs Canada","keywords":"Tanzania; Medicine; Community health; Health policy; Health care; Childbirth; Participatory action research; Rural health; Inclusion (mineral); Economic growth; Environmental health; Rural area; Nursing; Socioeconomics; Public health; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01319143,0.0003101944,0.0002352587,0.0009134685,0.004626087,0.002994016,0.0009241271,0.00125288,0.004210651],"category_scores_gemma":[0.01286782,0.0002626296,0.0001511376,0.0007052718,0.001593635,0.001426166,0.003874656,0.001229874,0.0001833353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002669259,"about_ca_system_score_gemma":0.01020124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004889575,"about_ca_topic_score_gemma":0.01023524,"domain_scores_codex":[0.9897054,0.007610409,0.0001969217,0.0002041417,0.0005029556,0.001780272],"domain_scores_gemma":[0.9938511,0.002041372,0.0007922477,0.00009877911,0.0008680438,0.002348477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001193997,0.001453791,0.3395734,0.003169129,0.0001846197,0.004924406,0.3801746,0.001074085,0.01043417,0.02307506,0.01946367,0.2152791],"study_design_scores_gemma":[0.000229364,0.00142593,0.2987899,0.001791906,0.0001355315,0.0009049065,0.5978687,0.001242174,0.00153525,0.006939496,0.08903588,0.0001008629],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647289,0.002302745,0.001033638,0.02035794,0.0001549363,0.0002635371,0.00006831289,0.0000192881,0.01107075],"genre_scores_gemma":[0.9968303,0.0005549156,0.0008867077,0.0007971497,0.00003268379,0.0001116065,0.0000312309,0.000003346047,0.0007520397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01319143,"threshold_uncertainty_score":0.06976378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845724568386568,"score_gpt":0.3349956195444262,"score_spread":0.3165383738605605,"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."}}