{"id":"W4406360129","doi":"10.1016/j.ssmhs.2025.100053","title":"The role of universal health coverage in secondary prevention: A case study of Ghana’s National Health Insurance Scheme and early-onset hypertension","year":2025,"lang":"en","type":"article","venue":"SSM - Health Systems","topic":"Global Health Care Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"National health insurance; Health insurance; Scheme (mathematics); Medicine; Economic growth; Environmental health; Business; Political science; Gerontology; Economics; Health care","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":[0.003054269,0.0004081085,0.0006107384,0.001172498,0.002336085,0.001580909,0.001000727,0.001619095,0.003988755],"category_scores_gemma":[0.007201714,0.000679285,0.0009493026,0.001820239,0.001125981,0.001678678,0.001846974,0.002480896,0.0002310348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865708,"about_ca_system_score_gemma":0.001773885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06185267,"about_ca_topic_score_gemma":0.06759028,"domain_scores_codex":[0.9972724,0.001470095,0.0001311385,0.0002442347,0.0001943087,0.0006877983],"domain_scores_gemma":[0.9940159,0.00265422,0.001764151,0.000380091,0.0002908353,0.0008947733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003113688,0.0007655922,0.9620768,0.0001157004,0.0001230847,0.01533179,0.01313617,0.0000696725,0.0001578368,0.001620293,0.0009304056,0.00536134],"study_design_scores_gemma":[0.00008520323,0.0005773582,0.9233541,0.0005238692,0.0002780021,0.01953447,0.05013749,0.001701543,0.000120877,0.0007112784,0.002925245,0.00005055173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974584,0.000952668,0.00006527936,0.0006852848,0.00001063072,0.00002230372,0.00006238904,0.000001013988,0.0007420932],"genre_scores_gemma":[0.9988852,0.0006188711,0.00009254524,0.00009878871,0.00001992748,0.00001159774,0.00003908088,0.000002351125,0.0002317325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06185267,"threshold_uncertainty_score":0.1229853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04246559916338139,"score_gpt":0.4143602823392529,"score_spread":0.3718946831758715,"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."}}