{"id":"W2959459885","doi":"10.3390/ijerph16132445","title":"Determinants of Health Facility Utilization at Birth in South Sudan","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitetet i Bergen","keywords":"Health facility; Medicine; Attendance; Birth attendant; Odds ratio; Demography; Cross-sectional study; Live birth; Quarter (Canadian coin); Odds; Environmental health; Logistic regression; Pregnancy; Population; Maternal health; Health services; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004311898,0.00009770245,0.0001219227,0.0004990099,0.0004829043,0.0003859526,0.0001903064,0.0001429501,0.001088946],"category_scores_gemma":[0.001202328,0.0001132402,0.0001573741,0.0008095133,0.0002012099,0.0001500925,0.0004383785,0.0003448019,0.00006642241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008637926,"about_ca_system_score_gemma":0.0005917605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07238386,"about_ca_topic_score_gemma":0.1005908,"domain_scores_codex":[0.9997317,0.00009931575,0.00002102116,0.00002145074,0.0000415948,0.00008494221],"domain_scores_gemma":[0.9994621,0.0001011847,0.0002917308,0.00001669558,0.00004020518,0.00008817815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001082733,0.00002242376,0.9968222,0.00001383318,0.00001545823,0.000118239,0.0002784975,0.00006106458,0.0002243879,0.00006810038,0.0001331332,0.002231752],"study_design_scores_gemma":[5.319731e-7,0.00001196748,0.9993246,0.00001093402,0.000002348178,0.00006348331,0.0003706618,0.00007174432,0.00001883561,0.0000119775,0.0001117946,0.000001332687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993631,0.0001645595,0.00002240667,0.00009582389,0.000002128005,0.00000269003,0.000141497,0.000001092736,0.0002066863],"genre_scores_gemma":[0.9996901,0.000130184,0.00003181354,0.00001489075,0.000002004614,0.000002394655,0.00006824643,3.161872e-7,0.0000600102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07238386,"threshold_uncertainty_score":0.1439251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09925185488780189,"score_gpt":0.4070873357230121,"score_spread":0.3078354808352102,"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."}}