{"id":"W4385295283","doi":"10.1001/jamanetworkopen.2023.25914","title":"Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk","year":2023,"lang":"en","type":"review","venue":"JAMA Network Open","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; Thrombosis and Atherosclerosis Research Institute; McMaster University; Population Health Research Institute; University of Toronto","funders":"Canadian Institutes of Health Research; Hamilton Health Sciences; Heart and Stroke Foundation of Canada; Natural Sciences and Engineering Research Council of Canada; McMaster University; Cisco Systems; Sanofi","keywords":"Mendelian randomization; Medicine; Type 2 diabetes; Internal medicine; Biomarker; Odds ratio; Body mass index; Genome-wide association study; Diabetes mellitus; Oncology; Single-nucleotide polymorphism; Genotype; Biology; Genetics; Endocrinology; Genetic variants","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196692,0.0004788974,0.0004185863,0.0006061427,0.0003755551,0.0006080339,0.0002812385,0.0004510356,0.001249783],"category_scores_gemma":[0.003277374,0.0001776868,0.0004300759,0.001024464,0.0003242339,0.0003038177,0.0006111781,0.0005243734,0.0001199183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002057667,"about_ca_system_score_gemma":0.0002983817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009777024,"about_ca_topic_score_gemma":0.001316309,"domain_scores_codex":[0.9991713,0.0003309253,0.00008631467,0.0002362226,0.00009877094,0.00007655039],"domain_scores_gemma":[0.9982358,0.0002917716,0.0009930015,0.0001581323,0.0001129821,0.0002082926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001023754,0.0000355884,0.9940606,0.00003520855,0.0001836129,0.00007307171,0.0000266245,0.0001024116,0.001613097,0.00004540207,0.0001800715,0.002620456],"study_design_scores_gemma":[0.00005447768,0.0002711692,0.9982631,0.00001207545,0.0001161297,0.00023916,0.00003920192,0.0002612822,0.0004052623,0.0001195259,0.0002123213,0.000006463412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9972047,0.0007277182,0.0005747193,0.0001306633,0.00001549392,0.00002731535,0.0009265024,0.0000103883,0.0003825453],"genre_scores_gemma":[0.998199,0.0001342831,0.000590366,0.00006528305,0.00002230607,0.00002866408,0.0008400035,0.000003959895,0.0001162656],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001249783,"threshold_uncertainty_score":0.006328821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07928972694917198,"score_gpt":0.3524741296872019,"score_spread":0.27318440273803,"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."}}