{"id":"W2588652569","doi":"10.1371/journal.pone.0171573","title":"Factors associated with the utilization of institutional delivery services in Bangladesh","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Health facility; Environmental health; Logistic regression; Service delivery framework; Medicine; Millennium Development Goals; Rural area; Health care; Developing country; Reproductive health; Demography; Service (business); Health services; Business; Economic growth; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.00005805606,0.00004552309,0.0001211732,0.00002009271,0.0001005229,0.000008425957,0.00007907965,0.00003158635,0.00002604621],"category_scores_gemma":[0.000028207,0.00002480724,0.00001152244,0.0000357717,0.0000527425,0.00006509533,0.00002008492,0.00006514688,0.000002436552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000340415,"about_ca_system_score_gemma":0.00004442007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004098059,"about_ca_topic_score_gemma":0.0008027328,"domain_scores_codex":[0.9995574,0.00001239297,0.00008169896,0.00006088107,0.0002099758,0.00007766287],"domain_scores_gemma":[0.9996603,0.00001463478,0.00009474056,0.0001198429,0.00008250563,0.00002801514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005078453,0.0004715405,0.9979044,0.0001347763,0.00007010152,0.000002839722,0.0002013554,0.000002838851,0.0008118792,0.000281422,0.000007717781,0.00006036295],"study_design_scores_gemma":[0.0005544682,0.0000771659,0.9953529,0.0007525806,0.00005195468,2.585028e-7,0.00006241443,0.0001344727,0.002932574,0.00003472149,0.00002092144,0.00002558134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972578,0.00005447141,9.329935e-7,0.0009883001,0.00001038026,0.0001303509,0.00001724509,0.000009267634,0.001531199],"genre_scores_gemma":[0.9995809,0.00002548765,0.00001031035,0.0002463564,0.00002219001,0.000001981921,0.00003161676,0.000002943756,0.00007821402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002551494,"threshold_uncertainty_score":0.101161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09429124422668553,"score_gpt":0.2746529514102615,"score_spread":0.1803617071835759,"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."}}