{"id":"W4412488147","doi":"10.1021/acs.jproteome.4c00956","title":"Differential Circulating Proteomic Responses Associated with Ancestry during Severe COVID-19 Infection","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; University of Toronto; Jewish General Hospital; McGill University","funders":"Lady Davis Institute for Medical Research; Japan Society for the Promotion of Science; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Fondation de l'Hôpital général juif; Canada Foundation for Innovation; Compute Canada; National Institutes of Health; Public Health Agency of Canada; Cancer Research UK; McGill University","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Betacoronavirus; Virology; Medicine; Proteomics; Biology; Coronavirus Infections; Immunology; Computational biology; Genetics; Internal medicine; Disease; Gene; Outbreak; Infectious disease (medical specialty)","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003594422,0.0002033662,0.0005282038,0.001743489,0.000566312,0.000175225,0.0002825693,0.0002433297,0.00004866178],"category_scores_gemma":[0.01011185,0.0001514163,0.0001815954,0.001914873,0.0002959413,0.0002817906,0.0001788293,0.002357739,0.00001114656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001884574,"about_ca_system_score_gemma":0.005269604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002183931,"about_ca_topic_score_gemma":0.0000376605,"domain_scores_codex":[0.9952785,0.0009686565,0.0006488438,0.0003413218,0.002020763,0.0007418593],"domain_scores_gemma":[0.9970516,0.0006467043,0.0003122785,0.0003386919,0.0014698,0.0001809337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006469035,0.0003172775,0.3835579,0.0009236111,0.0003214018,0.0008686591,0.0002005044,0.000009281916,0.606705,0.00001952172,0.0001271906,0.0004806749],"study_design_scores_gemma":[0.0114738,0.002457544,0.6080918,0.003338498,0.0001092905,0.001577696,0.0003101191,0.0004014248,0.3695587,0.0008358994,0.001544666,0.00030051],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952132,0.0001442243,0.0006912717,0.001506645,0.00008732376,0.001607826,0.00000430591,0.00004846391,0.0006967435],"genre_scores_gemma":[0.9981404,0.00001337345,0.000195256,0.0006981779,0.0003187172,0.0001233199,0.000001173924,0.00003230254,0.0004772666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2371462,"threshold_uncertainty_score":0.9999439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178874707557134,"score_gpt":0.4463889419269459,"score_spread":0.3285014711712325,"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."}}