{"id":"W2788142903","doi":"10.5539/gjhs.v10n3p161","title":"Screening of Prediabetes and Type 2 Diabetes Mellitus in Rabigh, Saudi Arabia","year":2018,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Abdulaziz University","keywords":"Prediabetes; Medicine; Diabetes mellitus; Body mass index; Waist; Impaired glucose tolerance; Type 2 Diabetes Mellitus; Incidence (geometry); Impaired fasting glucose; Population; Type 2 diabetes; Gerontology; Internal medicine; Physical therapy; Demography; Environmental health; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005312904,0.0001914001,0.0001655875,0.0005417218,0.0003876683,0.0003865042,0.0002482855,0.0002954953,0.001535478],"category_scores_gemma":[0.0007995352,0.0001379766,0.0001784194,0.0004849152,0.0001663561,0.0002360586,0.0003006757,0.0002555938,0.0001439957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003644208,"about_ca_system_score_gemma":0.0008413454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01904153,"about_ca_topic_score_gemma":0.01744535,"domain_scores_codex":[0.9996777,0.0000904008,0.00003919426,0.00003668364,0.00008933277,0.00006671766],"domain_scores_gemma":[0.9995679,0.00005607061,0.0001822256,0.00001572984,0.00008725305,0.00009085073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006488036,0.0001011036,0.9899833,0.00007721755,0.00002288069,0.0001759431,0.0002903042,0.0000234245,0.0002645992,0.00003885035,0.0002521396,0.008705195],"study_design_scores_gemma":[0.00001089444,0.0001810592,0.9964495,0.0001075074,0.00002651157,0.0007133782,0.001357895,0.0001560292,0.0001680358,0.00003961832,0.0007848972,0.000004644305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977382,0.001109547,0.00005690413,0.0003017569,0.000009414605,0.00001551081,0.0001365127,0.000002461544,0.0006297004],"genre_scores_gemma":[0.9984286,0.0009757879,0.00009749372,0.0001018741,0.00001180804,0.000009961985,0.0001094117,4.573907e-7,0.0002645629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01904153,"threshold_uncertainty_score":0.03786141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041522391408438,"score_gpt":0.3054413601167937,"score_spread":0.2850261362027093,"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."}}