{"id":"W2029595862","doi":"10.1155/2014/493039","title":"Impaired<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"><mml:mrow><mml:mi mathvariant=\"bold\">β</mml:mi></mml:mrow></mml:math>Cell Function in Chinese Newly Diagnosed Type 2 Diabetes Mellitus with Hyperlipidemia","year":2014,"lang":"en","type":"article","venue":"Journal of Diabetes Research","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Chinese Society of Endocrinology; University of Ottawa; National Science Foundation","keywords":"Hyperlipidemia; Insulin resistance; Hypertriglyceridemia; Internal medicine; Dyslipidemia; Triglyceride; Medicine; Endocrinology; Glucose homeostasis; Diabetes mellitus; Insulin; Type 2 Diabetes Mellitus; Gastroenterology; Algorithm; Cholesterol; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000204612,0.0002342399,0.0002097693,0.000519866,0.0002386088,0.0002683191,0.0001468097,0.0001473855,0.003438475],"category_scores_gemma":[0.0005532393,0.0001761391,0.0002286078,0.0004706202,0.0001243419,0.0002080473,0.0001818618,0.0002119662,0.0004253139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002117274,"about_ca_system_score_gemma":0.0002187785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00528581,"about_ca_topic_score_gemma":0.006225294,"domain_scores_codex":[0.9998842,0.00001709106,0.00002132985,0.00003219044,0.00002269758,0.00002245567],"domain_scores_gemma":[0.9997768,0.00004407354,0.00007694696,0.00002433643,0.00002140376,0.00005641933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003562527,0.00007938274,0.9915656,0.00003106992,0.0000358574,0.0004792654,0.0001205851,0.00003849858,0.002265394,0.00002247662,0.0002232144,0.004782564],"study_design_scores_gemma":[0.00001478802,0.00009738954,0.9985628,0.000004800089,0.0000214689,0.0005623636,0.00005484314,0.0001174162,0.0003130301,0.00001651986,0.000232132,0.000002475714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990907,0.0001610026,0.00008486225,0.0000278244,0.000008461911,0.000009071719,0.0002205404,0.000004227517,0.0003933543],"genre_scores_gemma":[0.9983815,0.0001823177,0.0001356751,0.00004566714,0.00001436834,0.00001316264,0.0004787514,0.000002945896,0.0007454831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00528581,"threshold_uncertainty_score":0.01150286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046317387878575,"score_gpt":0.2708373749301696,"score_spread":0.2503742010513839,"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."}}