{"id":"W3185400109","doi":"","title":"Improving Access to Comprehensive Emergency Obstetric and Neonatal care Services in Underserved Rural Tanzania","year":2021,"lang":"en","type":"article","venue":"AIJR Abstracts","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Tanzania; Medicine; Prenatal care; Medical emergency; Business; Environmental health; Population; Geography; Environmental planning","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":[0.0008189221,0.0001517769,0.0001704245,0.0005117899,0.0008553129,0.0007720338,0.0005813238,0.0003049184,0.003814302],"category_scores_gemma":[0.005096249,0.0001354223,0.0001743324,0.0005877382,0.0003824878,0.0005777924,0.002041437,0.0005734436,0.0001461294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531407,"about_ca_system_score_gemma":0.007063896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09449751,"about_ca_topic_score_gemma":0.1982332,"domain_scores_codex":[0.9992576,0.0002344696,0.00003606,0.00003381881,0.00005207904,0.0003858833],"domain_scores_gemma":[0.9980894,0.0003363114,0.0004520435,0.00005752352,0.0001983775,0.0008664725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005001437,0.001431894,0.8622351,0.0005992487,0.0000915065,0.001155028,0.01039585,0.001099479,0.002499251,0.001576723,0.009937698,0.1084782],"study_design_scores_gemma":[0.0001113502,0.0008317959,0.9774746,0.0003139924,0.00007780244,0.0001736433,0.01494757,0.001184431,0.0002986708,0.0005262399,0.004041229,0.00001861839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957261,0.00021906,0.0000934181,0.002050631,0.00001371808,0.00008847145,0.0002139433,0.00001015148,0.00158458],"genre_scores_gemma":[0.9986324,0.0002253104,0.0002586261,0.0003823733,0.00001170435,0.00006876759,0.00006779494,0.000002028841,0.0003510313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09449751,"threshold_uncertainty_score":0.1878949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087110555924128,"score_gpt":0.2948011648956513,"score_spread":0.27393005933641,"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."}}