{"id":"W4366189032","doi":"10.1038/s41598-023-31850-y","title":"Circulating proteins to predict COVID-19 severity","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; Université de Montréal; McGill University Health Centre; Centre Hospitalier de l’Université de Montréal; McGill University; Jewish General Hospital","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; National Institutes of Health; Fondation de l'Hôpital général juif; Public Health Agency; TD Bank; King's College London; Jewish General Hospital; National Institute for Health and Care Research; Canadian Institutes of Health Research; Compute Canada; Wellcome Trust; Public Health Agency of Canada; McGill University; National Cancer Institute; amfAR, The Foundation for AIDS Research; Japan Society for the Promotion of Science; Cancer Research UK; European Commission; National Institute of Diabetes and Digestive and Kidney Diseases; Bill and Melinda Gates Foundation","keywords":"Cohort; Generalizability theory; Coronavirus disease 2019 (COVID-19); Cohort study; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Cytokine; Receiver operating characteristic; Immune system; Immunology; Bioinformatics; Internal medicine; Disease; Biology; Psychology","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":[0.002803854,0.0008979993,0.000692853,0.0009984999,0.0003253822,0.001329513,0.0003027594,0.0004811975,0.001613902],"category_scores_gemma":[0.004889376,0.0002473826,0.0007347094,0.0008551429,0.0003612796,0.000706339,0.0006079589,0.001360752,0.0004838311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003733023,"about_ca_system_score_gemma":0.0003908366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001887421,"about_ca_topic_score_gemma":0.002295849,"domain_scores_codex":[0.9991838,0.0003066534,0.00008452122,0.0001759656,0.0001342088,0.0001147862],"domain_scores_gemma":[0.9976081,0.0009242499,0.0006870673,0.0002199457,0.00026252,0.0002982093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008614482,0.0001045002,0.9734051,0.00006575667,0.0002633517,0.0001111746,0.000061167,0.002130914,0.007873564,0.0001053024,0.0007788275,0.01423893],"study_design_scores_gemma":[0.00005755468,0.0006747443,0.9645162,0.00006232339,0.0002079599,0.0006383436,0.0001760513,0.02635781,0.004832937,0.0008159511,0.001629399,0.00003083119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886724,0.002644166,0.005393545,0.0005235498,0.00007184839,0.00005430854,0.001095675,0.0001015411,0.001442818],"genre_scores_gemma":[0.9925095,0.0006417788,0.00494672,0.000164313,0.00004877037,0.0000207403,0.001241367,0.00001731126,0.0004095136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002803854,"threshold_uncertainty_score":0.01482832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009209259961509,"score_gpt":0.4465478376498809,"score_spread":0.34562691165373,"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."}}