{"id":"W342089981","doi":"10.1016/j.ypmed.2015.05.004","title":"Demographic, lifestyle, and health characteristics of older adults with prediabetes in England","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Douglas Mental Health University Institute; McGill University","funders":"University College London","keywords":"Prediabetes; Medicine; Demography; Relative risk; Diabetes mellitus; Population; Gerontology; Internal medicine; Confidence interval; Type 2 diabetes; Environmental health; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.001438222,0.00020212,0.000970902,0.0002737457,0.00002171909,0.00000401364,0.00006535486,0.00006944621,0.00001844562],"category_scores_gemma":[0.0003030748,0.000138885,0.00006455031,0.0003546067,0.0003007692,0.00006913203,0.00003873367,0.0002227129,0.00000143684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003501908,"about_ca_system_score_gemma":0.0001409266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002145332,"about_ca_topic_score_gemma":0.0006790164,"domain_scores_codex":[0.9983131,0.0001458405,0.0004494544,0.0003178729,0.0004707272,0.00030295],"domain_scores_gemma":[0.9988384,0.00006875163,0.0002067797,0.0003004927,0.0002275104,0.0003580142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003427197,0.0002393313,0.7197227,0.0008528196,0.0002522072,0.00003409727,0.007000883,2.514383e-7,0.000009854037,0.00001528898,0.0002159725,0.2713139],"study_design_scores_gemma":[0.01255395,0.00229796,0.9779584,0.003796058,0.0001932944,0.00003249803,0.0007130305,0.00003979204,0.0001346667,0.00007652804,0.002077403,0.0001264492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850051,0.01198995,0.0002571531,0.001127855,0.0001139006,0.001141702,0.00001410097,0.00003042195,0.0003198178],"genre_scores_gemma":[0.9976856,0.0009434418,0.0005433563,0.0002337063,0.0003241361,0.00005638865,0.00007237231,0.00002741572,0.0001136122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2711875,"threshold_uncertainty_score":0.5663567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354594469613797,"score_gpt":0.2563018409869042,"score_spread":0.2427558962907662,"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."}}