{"id":"W2262217868","doi":"10.1093/heapol/czv135","title":"User fees exemptions alone are not enough to increase indigent use of healthcare services","year":2016,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Global Health Care Issues","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"User fee; Health care; Uncompensated Care; Business; Medicaid; Actuarial science; Public economics; Public administration; Internet privacy; Economic growth; Computer science; Political science; Economics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001233138,0.0002742776,0.0003547198,0.0008163603,0.0007287494,0.001176377,0.0004353873,0.0006570059,0.002278645],"category_scores_gemma":[0.00759482,0.0002868749,0.0006078326,0.0007520446,0.0005775276,0.0009456078,0.001093072,0.00087153,0.0001990102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000726804,"about_ca_system_score_gemma":0.0007600355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01653945,"about_ca_topic_score_gemma":0.03282691,"domain_scores_codex":[0.9989625,0.0004496932,0.0001064989,0.00009544373,0.0001632922,0.0002226175],"domain_scores_gemma":[0.9947053,0.0009005852,0.003410547,0.0002432039,0.0002010887,0.0005393446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002925621,0.00003244265,0.9978531,0.00001003959,0.00002036902,0.00005887933,0.0001532039,0.000008786663,0.00005681653,0.00001853549,0.0000210008,0.001737461],"study_design_scores_gemma":[0.000001405261,0.00004118601,0.9990327,0.00001969068,0.00001425906,0.0001446542,0.0005238444,0.00005431589,0.00002425367,0.0000308314,0.0001105778,0.000002250129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986935,0.0004021481,0.00004215201,0.0002787219,0.00000501465,0.000007324969,0.00006535178,0.000001340516,0.0005043857],"genre_scores_gemma":[0.999607,0.000150269,0.00005935887,0.00004924948,0.000006419861,0.000002696939,0.0000323481,5.713296e-7,0.00009198295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01653945,"threshold_uncertainty_score":0.03288639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.137644598917479,"score_gpt":0.4877554115309219,"score_spread":0.350110812613443,"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."}}