{"id":"W2176078388","doi":"10.1093/heapol/czv088","title":"Effect of a policy to reduce user fees on the rate of skilled birth attendance across socioeconomic strata in Burkina Faso","year":2015,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"World Health Organization","keywords":"Subsidy; Poisson regression; Socioeconomic status; Attendance; Demography; Confidence interval; Estimation; Medicine; Socioeconomics; Geography; Economics; Population; Environmental health; Economic growth","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":[0.007806546,0.0003352891,0.0002920731,0.0005201346,0.0007909999,0.001150473,0.0007350161,0.001160328,0.001808218],"category_scores_gemma":[0.02094451,0.0001778364,0.0005418528,0.0005036065,0.0009468321,0.0007254533,0.001368398,0.000643058,0.0001114345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004483179,"about_ca_system_score_gemma":0.004258398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07467234,"about_ca_topic_score_gemma":0.03743326,"domain_scores_codex":[0.9936244,0.004631987,0.0002520777,0.0003423993,0.0002587231,0.0008903508],"domain_scores_gemma":[0.9885442,0.00537139,0.003803628,0.0005234175,0.0005401634,0.001217174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005436441,0.008073332,0.8609945,0.0004600399,0.0005275091,0.0006047326,0.004265905,0.0073632,0.003764271,0.003389988,0.001537987,0.1035823],"study_design_scores_gemma":[0.0004198327,0.005536766,0.9842522,0.0001960213,0.0001872765,0.00009723195,0.002562692,0.003456864,0.001051732,0.0004287387,0.001781976,0.00002885304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977962,0.0002485797,0.000184489,0.0007731281,0.00001780849,0.0001023217,0.0001253623,0.000007787724,0.0007444012],"genre_scores_gemma":[0.9991441,0.00009346089,0.0002731907,0.0001758378,0.000007934756,0.00008026295,0.00003137593,7.058937e-7,0.0001930805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07467234,"threshold_uncertainty_score":0.1484754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03706337081510378,"score_gpt":0.4190451756121039,"score_spread":0.3819818047970001,"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."}}