{"id":"W3093925301","doi":"10.1186/s12902-020-00597-2","title":"Neutrophil count as a reliable marker for diabetic kidney disease in autoimmune diabetes","year":2020,"lang":"en","type":"article","venue":"BMC Endocrine Disorders","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Medicine; Diabetes mellitus; Absolute neutrophil count; Neutrophil to lymphocyte ratio; Dyslipidemia; Internal medicine; Type 1 diabetes; Creatinine; Logistic regression; Autoimmune diabetes; Albuminuria; Immunology; Disease; Type 2 diabetes; Gastroenterology; Lymphocyte; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001656463,0.0004117102,0.0005679646,0.0001827306,0.0001079431,0.00004558839,0.0002704881,0.00006473409,0.0005250114],"category_scores_gemma":[0.002018056,0.0004096766,0.0003715834,0.0004931638,0.0001685188,0.0001653105,0.0001496978,0.0002197745,0.0001286296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235635,"about_ca_system_score_gemma":0.0005844245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000408341,"about_ca_topic_score_gemma":0.000009392373,"domain_scores_codex":[0.9973499,0.00007324661,0.0005918094,0.0007101943,0.0003996419,0.0008752764],"domain_scores_gemma":[0.998122,0.0001737948,0.0001258267,0.0005498079,0.0001068896,0.0009217251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002628859,0.0004671444,0.9802852,0.002342225,0.0001294003,0.00006607428,0.0001063676,0.00009271916,0.0009928963,0.0003198958,0.01188323,0.0006859436],"study_design_scores_gemma":[0.01296507,0.0005001939,0.8366849,0.0005424898,0.0005664128,0.000002247294,0.0002022662,0.02238744,0.000686267,0.001629576,0.1230117,0.0008213544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737893,0.002479766,0.00007373172,0.01815734,0.0003116554,0.002973718,0.0001483163,0.0003346798,0.001731536],"genre_scores_gemma":[0.9893584,0.0002007235,0.001410885,0.006514155,0.0001421362,0.00154223,0.00033693,0.0001273613,0.0003671589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1436003,"threshold_uncertainty_score":0.9998355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222000173016059,"score_gpt":0.2553151475388854,"score_spread":0.2430951458087248,"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."}}