{"id":"W2335459452","doi":"10.5539/gjhs.v8n11p233","title":"An Analysis of Health Policies Designed to Control and Prevent Diabetes in Saudi Arabia","year":2016,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Diabetes Management and Education","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Saud University","keywords":"Medicine; Government (linguistics); Diabetes mellitus; Thematic analysis; Population; Remuneration; Disease; MEDLINE; Public health; Family medicine; Disease control; Medical education; Gerontology; Environmental health; Political science; Nursing; Qualitative research; Social science; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004153207,0.00007005781,0.0004912786,0.0005864182,0.00007143689,0.00002050294,0.0001692829,0.00001354138,0.000006718339],"category_scores_gemma":[0.000175918,0.00004495184,0.00004472009,0.001568371,0.0001458378,0.0002598339,0.00001883506,0.0000344482,8.251093e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004287923,"about_ca_system_score_gemma":0.0007975509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002592022,"about_ca_topic_score_gemma":0.00007276996,"domain_scores_codex":[0.9982785,0.00009494726,0.0006561527,0.0001468717,0.0004387407,0.0003847689],"domain_scores_gemma":[0.9987398,0.00003666298,0.0005279613,0.0001488997,0.0001824927,0.0003641221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003002659,0.0001591399,0.9228792,0.00004917926,0.00003486087,3.52633e-7,0.0001848983,0.00005427434,0.001546964,0.0001872251,0.0002240123,0.07464993],"study_design_scores_gemma":[0.0005735728,0.001247274,0.9970568,0.0002778189,0.00006011343,0.000001932418,0.0002223466,0.0001990294,0.00009653345,0.00017314,0.00005259192,0.00003879154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766515,0.000705855,0.000957532,0.02130215,0.0001104446,0.0002316635,0.000004987329,0.000003418977,0.00003246455],"genre_scores_gemma":[0.9966366,0.000131646,0.0008568567,0.00233752,0.00002570273,0.000001622399,3.687879e-7,0.000001782762,0.000007866554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07461113,"threshold_uncertainty_score":0.1833083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783033093226864,"score_gpt":0.3531573397793705,"score_spread":0.3353270088471019,"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."}}