{"id":"W4384407311","doi":"10.1002/ctd2.205","title":"Profiling of circulating serum exosomal microRNAs in elderly patients with infectious stress hyperglycaemia","year":2023,"lang":"en","type":"article","venue":"Clinical and Translational Discovery","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada); University of Toronto","funders":"Banting and Best Diabetes Centre, University of Toronto; Basic and Applied Basic Research Foundation of Guangdong Province; University of Toronto; National Natural Science Foundation of China; Natural Science Foundation of Shenzhen City","keywords":"Cohort; Medicine; microRNA; Internal medicine; Disease; Exosome; Cohort study; Coronavirus disease 2019 (COVID-19); Logistic regression; Oncology; Bioinformatics; Microvesicles; Infectious disease (medical specialty); Biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001387154,0.00009734257,0.0001377383,0.00003887157,0.00003409544,0.00001428082,0.00006176158,0.0001016452,0.000002789822],"category_scores_gemma":[0.00006350043,0.00008582215,0.0000707413,0.0001205317,0.0001458875,0.00001660276,0.00002961049,0.00009833729,0.000001445098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000165884,"about_ca_system_score_gemma":0.00006686214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003728013,"about_ca_topic_score_gemma":0.00003260815,"domain_scores_codex":[0.9990637,0.00005496987,0.0003464581,0.0002714577,0.0001255155,0.0001379299],"domain_scores_gemma":[0.9996455,0.00007041432,0.00007262605,0.0001176097,0.00004258261,0.00005123979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001562957,0.0001673864,0.9869762,0.000058393,0.00003493465,0.000005855437,0.00001448785,0.0007010924,0.008743424,0.0001628356,0.000003600914,0.002975495],"study_design_scores_gemma":[0.001660978,0.0001751266,0.9932078,0.00005371288,0.00001690707,0.000001169805,0.00001965553,0.0001862243,0.004102593,0.000433799,0.00002389597,0.0001181153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989234,0.000206073,0.0003187829,0.00003678474,0.00005890098,0.0001600212,0.0001474905,0.000008931109,0.000139656],"genre_scores_gemma":[0.9991592,0.00003515283,0.000261729,0.00002448313,0.00006895245,0.000007413605,0.000395229,0.00001413636,0.0000337452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006231623,"threshold_uncertainty_score":0.3499725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260874511101238,"score_gpt":0.2734294441525424,"score_spread":0.26082069904153,"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."}}