{"id":"W4409754150","doi":"10.1016/s2214-109x(24)00536-9","title":"Policy and service delivery proposals to improve primary care services in low-income and middle-income country cities","year":2025,"lang":"en","type":"review","venue":"The Lancet Global Health","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Medical Research Council; National Institute for Health and Care Research","keywords":"Service delivery framework; Low and middle income countries; Primary care; Business; Low income; Economic growth; Service (business); Developing country; Socioeconomics; Medicine; Economics; Family medicine; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001747967,0.0008260517,0.0043438,0.0003546409,0.001124794,0.00006839837,0.001030793,0.0007182864,0.00001195675],"category_scores_gemma":[0.00007796848,0.0005724619,0.0001300379,0.001590746,0.00009923029,0.0001923417,0.001696312,0.001600055,0.00007453099],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007121715,"about_ca_system_score_gemma":0.02448722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02894357,"about_ca_topic_score_gemma":0.0472691,"domain_scores_codex":[0.9929019,0.001821409,0.001881703,0.0009289849,0.0004843289,0.001981642],"domain_scores_gemma":[0.9958108,0.001331965,0.0008288461,0.001175402,0.0002774761,0.0005754873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001192071,0.00001659499,0.004429472,0.6950737,0.00005839975,0.00001104714,0.002226552,1.93126e-7,1.022356e-8,0.003122774,0.0004976633,0.2944444],"study_design_scores_gemma":[0.00175551,0.0002334948,0.02783092,0.2111155,0.000221141,0.00002623171,0.002474395,0.000002354212,1.416829e-8,0.001449452,0.7540982,0.0007927993],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001503861,0.9603516,0.000001066533,0.01735458,0.00105045,0.006233889,0.005124159,0.0001951766,0.008185172],"genre_scores_gemma":[0.00005810512,0.8681823,0.0001822858,0.1287367,0.001418487,0.0005929265,0.0003764968,0.00005080601,0.0004019481],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7536005,"threshold_uncertainty_score":0.9996727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04091849853481595,"score_gpt":0.4311434484025978,"score_spread":0.3902249498677818,"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."}}