{"id":"W4213007656","doi":"10.3389/fimmu.2022.820350","title":"Coping With Stress: The Mitokine GDF-15 as a Biomarker of COVID-19 Severity","year":2022,"lang":"en","type":"review","venue":"Frontiers in Immunology","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"HIV Legal Network; McGill University Health Centre","funders":"Canadian Institutes of Health Research; McGill University; Styrelsen för Internationellt Utvecklingssamarbete; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"GDF15; Cytokine storm; Cytokine; Inflammation; Immunology; Disease; Reprogramming; Context (archaeology); Biomarker; Biology; Mediator; Immune system; Proinflammatory cytokine; Coronavirus disease 2019 (COVID-19); Medicine; Infectious disease (medical specialty); Pathology; Genetics; Cell biology; Cell","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":[0.0005763414,0.0006472255,0.001071943,0.001273997,0.0001626511,0.0009623184,0.000513387,0.00103687,0.001605939],"category_scores_gemma":[0.000886048,0.000188033,0.0005034882,0.0008841542,0.0003606803,0.0008638605,0.0004794642,0.001755776,0.0009205819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005000858,"about_ca_system_score_gemma":0.0008264352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006290922,"about_ca_topic_score_gemma":0.0009467626,"domain_scores_codex":[0.9998372,0.00004065376,0.0000274988,0.00002763482,0.00005099275,0.00001594504],"domain_scores_gemma":[0.9997219,0.0001395027,0.00003777059,0.000006579746,0.00007589194,0.00001826918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002333101,0.00007349765,0.000672894,0.01696563,0.0002152008,0.0002182888,0.00007967624,0.0003108238,0.002784138,0.003750205,0.02596673,0.9487297],"study_design_scores_gemma":[0.00004719733,0.0002957289,0.00272539,0.006025559,0.0003628201,0.002225555,0.0001251075,0.000258402,0.001710609,0.003149398,0.9830319,0.00004234907],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002089068,0.9984885,0.0001210055,0.0003843923,0.000291246,0.000004146722,0.00001872183,0.000004864236,0.0004781171],"genre_scores_gemma":[0.001771436,0.996805,0.0002096159,0.0003600854,0.0003264802,0.00001103983,0.0000461258,0.000001674535,0.0004686605],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001605939,"threshold_uncertainty_score":0.005372345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041503362836387,"score_gpt":0.3124543825742745,"score_spread":0.2820393489459106,"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."}}