{"id":"W3084070859","doi":"10.3390/ijerph17186543","title":"Do Targeted User Fee Exemptions Reach the Ultra-Poor and Increase their Healthcare Utilisation? A Panel Study from Burkina Faso","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institut National de Santé Publique du Québec; Canadian Institutes of Health Research","funders":"Canadian Institutes of Health Research; World Bank Group","keywords":"Receipt; Possession (linguistics); Health care; Business; Smart card; Logistic regression; Environmental health; Intervention (counseling); Medicine; Family medicine; Nursing; Computer security; Computer science; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003239588,0.0001343101,0.0003352946,0.0002422219,0.0003688573,0.0002574827,0.0004094845,0.0000726574,0.0002293904],"category_scores_gemma":[0.0003405841,0.00009061546,0.0000629042,0.0001561981,0.0002117698,0.0004627455,0.0001313513,0.0006750366,0.00002613719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004060573,"about_ca_system_score_gemma":0.0002225071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008658364,"about_ca_topic_score_gemma":0.0001929417,"domain_scores_codex":[0.9976255,0.0003358972,0.0009381925,0.0003168687,0.0003848369,0.0003987072],"domain_scores_gemma":[0.9983048,0.0001822302,0.0004493794,0.0001621317,0.00008812306,0.0008132731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002104748,0.00113096,0.881889,0.00005137569,0.0003986102,0.00004527419,0.02137195,0.000002542318,0.0001167481,0.007702874,0.0009287145,0.0861514],"study_design_scores_gemma":[0.001458513,0.001379386,0.8980556,0.00004438671,0.000001236695,0.00005630457,0.02841013,0.0001160514,0.000006157133,0.004604409,0.06572878,0.0001390355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857747,0.006591003,0.0001733577,0.1058333,0.0001996736,0.0004467235,0.00082225,0.000005922581,0.0001531125],"genre_scores_gemma":[0.9924121,0.005149458,0.00005426085,0.001749212,0.0005059942,0.00001767709,0.00004042317,0.00001708655,0.00005371004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1066375,"threshold_uncertainty_score":0.997943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.162990129591501,"score_gpt":0.3407093825764566,"score_spread":0.1777192529849556,"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."}}