{"id":"W2111122261","doi":"10.1093/heapol/czt089","title":"Increasing institutional deliveries among antenatal clients: effect of birth preparedness counselling","year":2013,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Montréal; McGill University","funders":"","keywords":"Childbirth; Medicine; Attendance; Odds ratio; Preparedness; Logistic regression; Confidence interval; Family medicine; Birth attendant; Demography; Obstetrics; Pregnancy; Population; Environmental health; Maternal health; Health services","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":[0.002807018,0.0005725332,0.0005418432,0.0003996647,0.0006278402,0.0009496518,0.0008493597,0.001099626,0.005432568],"category_scores_gemma":[0.02117229,0.0003553675,0.001229416,0.0004094845,0.0004378669,0.0006114295,0.0008880786,0.001180081,0.0002592329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007214545,"about_ca_system_score_gemma":0.001486734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01875935,"about_ca_topic_score_gemma":0.01304793,"domain_scores_codex":[0.997278,0.001869298,0.00009097567,0.0002124539,0.0001789074,0.0003703196],"domain_scores_gemma":[0.9902589,0.006325386,0.001039516,0.0003918251,0.0003082725,0.001676126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06744903,0.06374918,0.5563948,0.0009959808,0.002512938,0.000911242,0.0027412,0.001453835,0.001404234,0.0003794685,0.001252707,0.3007553],"study_design_scores_gemma":[0.003164047,0.06593212,0.9192315,0.000508862,0.002992565,0.0003623132,0.002162848,0.003040644,0.0006176028,0.0003262021,0.001609905,0.00005149354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971913,0.001194945,0.00007637224,0.0003029186,0.00003934753,0.00008707249,0.00006406323,0.00001202174,0.001032011],"genre_scores_gemma":[0.9975849,0.0008854643,0.0002685953,0.0001064183,0.00003575465,0.00004543269,0.00004420158,0.000004000749,0.001025216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01875935,"threshold_uncertainty_score":0.03730029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489355220239338,"score_gpt":0.3265965944572864,"score_spread":0.3117030422548931,"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."}}