{"id":"W3081034241","doi":"10.1186/s12913-020-05660-1","title":"Using routine health information data for research in low- and middle-income countries: a systematic review","year":2020,"lang":"en","type":"review","venue":"BMC Health Services Research","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Wilfrid Laurier University; University of Waterloo","funders":"AXA Research Fund","keywords":"Health informatics; Medicine; Data extraction; EconLit; Health administration; Scopus; Nursing research; Health services research; Inclusion (mineral); Public health; Information system; Public health informatics; Data quality; Health policy; MEDLINE; Environmental health; International health; Nursing; Business; Service (business)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.03240602,0.0005048048,0.005621636,0.001188468,0.0006636083,0.0002120779,0.001365221,0.0003319144,0.00001562269],"category_scores_gemma":[0.0006066784,0.0003718047,0.0001570658,0.002734049,0.0001238157,0.0005225145,0.001334119,0.002082824,0.0001851514],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002439462,"about_ca_system_score_gemma":0.01353303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0051408,"about_ca_topic_score_gemma":0.0007363461,"domain_scores_codex":[0.9858969,0.004368821,0.004039485,0.0009815641,0.002561806,0.002151355],"domain_scores_gemma":[0.9927342,0.001724898,0.001114155,0.001957403,0.001030098,0.001439272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009025323,0.00004798981,0.00007853248,0.9949014,0.0000437017,0.00001043465,0.000441169,1.014666e-7,8.165991e-10,0.0001791646,0.00009773561,0.004109578],"study_design_scores_gemma":[0.0006069721,0.0004426396,0.00004040845,0.7164733,0.00008694144,0.0001525797,0.0004605765,0.001043221,4.184927e-9,0.00002245912,0.2805189,0.000152003],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001778099,0.9667533,0.00002877228,0.00401988,0.00009859416,0.02774725,0.001244563,0.00004686433,0.00004297847],"genre_scores_gemma":[0.00001632514,0.9902996,0.001065985,0.005658208,0.0003369156,0.000740865,0.00177982,0.00006984077,0.00003241514],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2804211,"threshold_uncertainty_score":0.9998734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3486907892950005,"score_gpt":0.5598843888175724,"score_spread":0.2111935995225719,"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."}}