{"id":"W3106562361","doi":"10.1186/s12978-020-00993-w","title":"Setting up a maternal and newborn registry applying electronic platform: an experience from the Bangladesh site of the global network for women’s and children’s health","year":2020,"lang":"en","type":"article","venue":"Reproductive Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Global Affairs Canada; Department for International Development; International Centre for Diarrhoeal Disease Research, Bangladesh; National Institutes of Health; RTI International; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Reproductive medicine; Medicine; Pregnancy; Observational study; Public health; Population; Environmental health; Demography; Family medicine; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006349604,0.0001938757,0.0004450746,0.000007850243,0.0004859277,0.00002900292,0.0001464558,0.00005026783,0.000007729232],"category_scores_gemma":[0.0000827309,0.0001196872,0.00004528715,0.0001845423,0.0001472106,0.0001003686,0.0001197925,0.0003040479,0.000001124289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004409849,"about_ca_system_score_gemma":0.0005634121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004100943,"about_ca_topic_score_gemma":0.0001842898,"domain_scores_codex":[0.9977768,0.0001109587,0.0004373931,0.0006904578,0.0002501866,0.0007341741],"domain_scores_gemma":[0.9986297,0.00003483181,0.000428401,0.0004576086,0.00005974047,0.0003896551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000968419,0.00003594893,0.9560207,0.0003933919,0.00006133068,6.686484e-7,0.01528209,0.00002654055,0.00005339705,0.001255215,0.001418557,0.02448374],"study_design_scores_gemma":[0.001075801,0.0009020407,0.9874812,0.0002351895,0.00001228452,0.0001440859,0.002089262,0.000134294,0.00006812314,0.002090415,0.005660949,0.0001063378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606047,0.004714064,0.0001999507,0.03234494,0.0001433154,0.001738633,0.0001957096,0.00003474217,0.00002389228],"genre_scores_gemma":[0.983239,0.0005535078,0.0008133348,0.01399554,0.001245468,0.00008612281,0.00002177852,0.00001812674,0.00002713062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03146051,"threshold_uncertainty_score":0.6199427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769806399314437,"score_gpt":0.2926936561664047,"score_spread":0.2749955921732604,"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."}}