{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003851822,0.0001212354,0.0003259113,0.0001190964,0.0002464762,0.00001604811,0.00003785652,0.00005881584,0.00001565995],"category_scores_gemma":[0.0001243603,0.00009139672,0.0000299935,0.0001243641,0.0001279172,0.0001451393,0.0000183389,0.0001455084,0.000006761808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006789486,"about_ca_system_score_gemma":0.0002231383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02367146,"about_ca_topic_score_gemma":0.0000194311,"domain_scores_codex":[0.9989192,0.0001024351,0.0003117976,0.0001567883,0.0001798228,0.0003298943],"domain_scores_gemma":[0.9992879,0.0001423329,0.0001386921,0.00008389438,0.00006961058,0.0002775751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006197284,0.00003568604,0.9872646,0.003118999,0.00003314246,0.00002914049,0.004126744,0.00009568467,0.0001024621,0.001076185,0.0002585136,0.003239148],"study_design_scores_gemma":[0.001993061,0.001075648,0.9864372,0.003761763,0.00002151147,0.0008160585,0.0005168477,0.001678373,0.0001708156,0.0002305956,0.003133081,0.0001650696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968433,0.001310978,0.00009358858,0.0004806588,0.00009756659,0.0003724346,0.00003448969,0.00003848731,0.0007285359],"genre_scores_gemma":[0.99715,0.0004673961,0.0001660346,0.00186605,0.0002721139,0.00000867907,0.00002916231,0.000007575043,0.0000329838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02365203,"threshold_uncertainty_score":0.98283,"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."}}