{"id":"W4389328220","doi":"10.4102/phcfm.v15i1.4248","title":"Advancing primary care: Establishing family medicine specialty in Tanzania","year":2023,"lang":"en","type":"article","venue":"African Journal of Primary Health Care & Family Medicine","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada; University of Toronto","funders":"","keywords":"Tanzania; Medicine; Specialty; Government (linguistics); Primary care; Family medicine; Alternative medicine; Health care; Nursing; Primary health care; Public health; Private sector; Medical education; Population; Economic growth; Environmental health; Socioeconomics","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":[0.001636904,0.0000957422,0.00008193698,0.0003538831,0.002593502,0.00119794,0.0005109719,0.0008638066,0.005794074],"category_scores_gemma":[0.003212877,0.0002366865,0.0001014288,0.000352982,0.0007678841,0.0008042824,0.002400089,0.001359649,0.0003488204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003431502,"about_ca_system_score_gemma":0.02103212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04531751,"about_ca_topic_score_gemma":0.11643,"domain_scores_codex":[0.998978,0.0002992788,0.00004129072,0.00005783339,0.0001110583,0.0005124133],"domain_scores_gemma":[0.9962593,0.0003559843,0.0003994071,0.00003910533,0.0003348474,0.002611403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002070289,0.001244896,0.6675653,0.001963391,0.00002075222,0.013835,0.1139488,0.0002895471,0.008975934,0.006003697,0.03355796,0.1523877],"study_design_scores_gemma":[0.00007979243,0.001072554,0.8473861,0.002000411,0.0000164736,0.005052845,0.09498114,0.0003508019,0.0006150497,0.0008769549,0.04753365,0.00003417296],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457098,0.005034299,0.0002719388,0.0358126,0.0002824019,0.0002147286,0.0001230081,0.00002716746,0.01252395],"genre_scores_gemma":[0.989957,0.002292041,0.0009644278,0.004513619,0.00008788618,0.00004796972,0.0000475011,0.000004417051,0.002085057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04531751,"threshold_uncertainty_score":0.09010744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05316480469469877,"score_gpt":0.3975555913253145,"score_spread":0.3443907866306158,"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."}}