{"id":"W6958016934","doi":"10.60692/04rxr-ggs06","title":"Geographic information system for improving maternal and newborn health: recommendations for policy and programs","year":2017,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geospatial analysis; Agency (philosophy); Government (linguistics); Geographic information system; Maternal health; Public health; Information system; Sustainable development","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":[0.04069424,0.002552189,0.001781801,0.008473537,0.003324617,0.01003781,0.00758866,0.01421081,0.02985606],"category_scores_gemma":[0.05560746,0.001744036,0.002671815,0.01130349,0.003181156,0.0148887,0.009126418,0.009099709,0.01241191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0129801,"about_ca_system_score_gemma":0.1048573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07464657,"about_ca_topic_score_gemma":0.06625675,"domain_scores_codex":[0.9764585,0.01440979,0.002047459,0.0006766004,0.004205059,0.00220255],"domain_scores_gemma":[0.9568951,0.01476485,0.002732574,0.002122559,0.01635962,0.007125356],"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":[0.00004116511,0.0003533668,0.001827142,0.002605786,0.00003685799,0.0001621627,0.0009417793,0.002078019,0.0001581803,0.03211885,0.7858498,0.173827],"study_design_scores_gemma":[0.0001501372,0.0001338335,0.003167873,0.01293028,0.00007794081,0.0001232702,0.004370143,0.001666784,0.0002095814,0.02673233,0.950323,0.0001147789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001023127,0.02311406,0.02090358,0.8840204,0.005442708,0.004763688,0.005090852,0.001678724,0.05396293],"genre_scores_gemma":[0.03216125,0.1910099,0.4773021,0.1746855,0.005736644,0.03345121,0.02709888,0.0007749242,0.05777952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07464657,"threshold_uncertainty_score":0.2152143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04158391103480741,"score_gpt":0.2874916984436949,"score_spread":0.2459077874088875,"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."}}