{"id":"W4410498658","doi":"10.1186/s12961-025-01334-8","title":"Exploring the facilitators and barriers to achieving universal health coverage in Uganda: a qualitative study of the free healthcare policy","year":2025,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"International Development Research Centre","keywords":"Health policy; Health services research; Equity (law); Health care; Focus group; Qualitative research; Influencer marketing; Health administration; Implementation research; Public relations; Social policy; Public policy; Policy analysis; Medicine; Public health; Public administration; Political science; Nursing; Business; Sociology; Economic growth; Marketing; Economics; Psychological intervention","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":[0.006902619,0.0001646447,0.0006182198,0.0007406277,0.0009819419,0.00004306886,0.0002601786,0.00004713729,7.70246e-7],"category_scores_gemma":[0.002490302,0.00009861534,0.00003631285,0.001870379,0.0001974423,0.00008694027,0.0003771425,0.0007351831,8.787173e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199942,"about_ca_system_score_gemma":0.005265532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4035004,"about_ca_topic_score_gemma":0.01679627,"domain_scores_codex":[0.9926652,0.004530853,0.0007198463,0.0003664287,0.000774839,0.000942798],"domain_scores_gemma":[0.9973598,0.0008109303,0.0001290892,0.0005368964,0.0002097972,0.000953539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008818271,0.0001800109,0.1848884,0.00995045,0.00009204488,0.00001131875,0.6923272,0.00003719252,0.00001326788,0.1023095,0.002371557,0.006937262],"study_design_scores_gemma":[0.002491316,0.002395705,0.4462358,0.002840286,0.00000350084,0.00001579079,0.5383331,0.00003282062,0.000002049822,0.0007714094,0.006790846,0.00008738948],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.797966,0.002143906,0.000004372541,0.1965319,0.0001064135,0.002889186,0.0001049202,0.00001266594,0.0002405722],"genre_scores_gemma":[0.9922534,0.001508059,0.000004068156,0.005634526,0.0001537922,0.0001241226,9.307097e-7,0.00001070209,0.0003104219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3867041,"threshold_uncertainty_score":0.9372715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2884174379870321,"score_gpt":0.5169489509090144,"score_spread":0.2285315129219823,"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."}}