{"id":"W2143689194","doi":"10.5539/gjhs.v8n4p95","title":"The Association Between Pre-Diabetes With Body Mass Index and Marital Status in an Iranian Urban Population","year":2015,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jahrom University of Medical Sciences","keywords":"Medicine; Body mass index; Marital status; Diabetes mellitus; Obesity; Anthropometry; Population; Odds ratio; Demography; Blood sugar; Gerontology; Internal medicine; Endocrinology; Environmental health","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":[0.0004417283,0.0001561152,0.0001593094,0.0006045863,0.0003977563,0.0003402037,0.0001947104,0.0002362655,0.001407208],"category_scores_gemma":[0.001598711,0.000172127,0.0002190727,0.0006109713,0.0002208789,0.000311965,0.0002345507,0.0003747611,0.0001118453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137719,"about_ca_system_score_gemma":0.0002142384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003856422,"about_ca_topic_score_gemma":0.005480748,"domain_scores_codex":[0.999702,0.00009184582,0.0000347772,0.00003955343,0.00007298228,0.0000588529],"domain_scores_gemma":[0.9992691,0.0001381143,0.0003276614,0.00004033916,0.00007999802,0.0001447802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003352689,0.00003265754,0.9985675,0.000004429904,0.00001593436,0.0000491848,0.0000847031,0.000008501908,0.00006493316,0.00001149555,0.00003274586,0.001094317],"study_design_scores_gemma":[0.000001502607,0.00006066895,0.9994211,0.000003262932,0.000008466438,0.0001676619,0.0001857497,0.0000529166,0.0000131529,0.00001609606,0.00006838493,0.000001091106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994473,0.0002271344,0.00003434646,0.00005089777,0.000004425971,0.0000031386,0.00002837335,6.37908e-7,0.0002038567],"genre_scores_gemma":[0.9997196,0.0001254459,0.00003424424,0.00001921452,0.000007767796,0.000002172674,0.00003244796,3.205944e-7,0.00005877798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003856422,"threshold_uncertainty_score":0.007667959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491570742158069,"score_gpt":0.2973079919469227,"score_spread":0.282392284525342,"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."}}