{"id":"W2579856973","doi":"10.1186/s12884-016-1199-y","title":"Geographic information system for improving maternal and newborn health: recommendations for policy and programs","year":2017,"lang":"en","type":"article","venue":"BMC Pregnancy and Childbirth","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Economic and Social Research Council; United States Agency for International Development","keywords":"Medicine; Reproductive medicine; Family medicine; Health policy; Maternal health; Environmental health; Public health; Pregnancy; Nursing; Population; Health services","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":[0.04953318,0.002634845,0.001975219,0.009200912,0.002901518,0.009577217,0.0083773,0.0129266,0.02763704],"category_scores_gemma":[0.06680565,0.001885834,0.003064415,0.01225511,0.003065261,0.01461931,0.01008731,0.009141635,0.01293892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01292048,"about_ca_system_score_gemma":0.09927715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07220614,"about_ca_topic_score_gemma":0.05922535,"domain_scores_codex":[0.9734088,0.01659654,0.002451163,0.0007866321,0.004610999,0.002145729],"domain_scores_gemma":[0.9487319,0.01875394,0.003065868,0.002668555,0.01931638,0.007463311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004786145,0.0003677449,0.002024026,0.003310593,0.00005156194,0.0001444691,0.0009373307,0.00240034,0.0001685924,0.03179201,0.7498178,0.2089378],"study_design_scores_gemma":[0.0001612445,0.0001411753,0.003271565,0.01530787,0.00009257303,0.000111471,0.003577103,0.001889709,0.0002302318,0.02718663,0.9479077,0.0001226522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001063868,0.02758366,0.03018853,0.8658069,0.006324589,0.006121599,0.008417768,0.002182417,0.05231067],"genre_scores_gemma":[0.02704508,0.1879107,0.5297476,0.1357448,0.004916574,0.03653413,0.03505696,0.0008373566,0.04220677],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07220614,"threshold_uncertainty_score":0.2619597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648720884627835,"score_gpt":0.3000478645231718,"score_spread":0.2735606556768935,"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."}}