{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000496789,0.0002738569,0.0003999629,0.00046291,0.0003649886,0.000678601,0.0001191658,0.0003440188,0.001211147],"category_scores_gemma":[0.001083534,0.0001698318,0.0003949969,0.000665402,0.0002365525,0.0002626687,0.0005228125,0.0004099334,0.0002075943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001780388,"about_ca_system_score_gemma":0.0001143756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231757,"about_ca_topic_score_gemma":0.001466895,"domain_scores_codex":[0.9997504,0.00006468011,0.00002242578,0.0000758742,0.00003545969,0.00005114022],"domain_scores_gemma":[0.9996682,0.00005800037,0.0001455091,0.00003422707,0.00004442914,0.00004952701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001685928,0.00005249819,0.8710591,0.00008364326,0.0004299942,0.0003123627,0.0005491882,0.0002285124,0.1185013,0.0001097348,0.0003730617,0.006614772],"study_design_scores_gemma":[0.00000417098,0.00007998345,0.9968191,0.000004974991,0.00003837286,0.0002379415,0.0002049583,0.0002893097,0.002009704,0.00004778631,0.0002596924,0.000004016739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990672,0.0001711472,0.0001805771,0.00002396382,0.000005215627,0.000003042608,0.0003610772,0.000005284913,0.0001824808],"genre_scores_gemma":[0.9981849,0.0001339363,0.0004046038,0.00004768742,0.000007643876,0.000006160622,0.0009121662,0.000006957193,0.0002958765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001231757,"threshold_uncertainty_score":0.004051626,"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."}}