{"id":"W4247689217","doi":"10.7189/jogh.09.010309","title":"Developing data use capacity in the maternal, newborn, child health and nutrition sector in Malawi, Mali, Mozambique and Tanzania: an evolving strategy","year":2019,"lang":"en","type":"review","venue":"Journal of Global Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada","keywords":"Tanzania; Developing country; Environmental health; Health sector; Capacity building; Capacity development; Maternal health; Economic growth; Medicine; Geography; Population; Health services; Environmental planning; Economics","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":[0.01095644,0.0008723617,0.001474628,0.003881492,0.0009079082,0.003855388,0.002443675,0.003682123,0.003237729],"category_scores_gemma":[0.01761266,0.0005982356,0.001073071,0.00496924,0.002306526,0.006949022,0.004030286,0.003159551,0.000641413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003681674,"about_ca_system_score_gemma":0.02189854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034522,"about_ca_topic_score_gemma":0.01653759,"domain_scores_codex":[0.9963093,0.001922125,0.000387245,0.000255831,0.0007069045,0.0004186218],"domain_scores_gemma":[0.9846368,0.01144829,0.001595613,0.0002715937,0.001317084,0.0007306156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000048977,0.00007197943,0.0007581702,0.06884336,0.0002111653,0.0001151749,0.0008088741,0.0005261156,0.0002955091,0.0270584,0.02695378,0.8743085],"study_design_scores_gemma":[0.00004122252,0.000187563,0.003855475,0.1721732,0.0004009402,0.0004966521,0.001624472,0.0003877577,0.0004517754,0.01111919,0.8092136,0.00004816585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002855865,0.9916875,0.0001984225,0.006776038,0.0001651686,0.00002267611,0.00003669411,0.000006775666,0.0008211976],"genre_scores_gemma":[0.005215618,0.9919551,0.0005673615,0.001794341,0.0002198762,0.00004298326,0.00004555121,0.000003460886,0.000155876],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01095644,"threshold_uncertainty_score":0.05794388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1965821967667352,"score_gpt":0.4178469484273893,"score_spread":0.2212647516606541,"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."}}