{"id":"W3214987028","doi":"10.1126/sciadv.abj5629","title":"Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality","year":2021,"lang":"en","type":"article","venue":"Science Advances","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; U.S. Military HIV Research Program; Université de Montréal; Génome Québec; National Institutes of Health; Public Health Agency of Canada; Cancer Research UK; GlaxoSmithKline; Public Health Agency; amfAR, The Foundation for AIDS Research","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Profiling (computer programming); Virology; Betacoronavirus; Medicine; Sars virus; Internal medicine; Computer science; Outbreak; Infectious disease (medical specialty); Disease","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":[0.002695094,0.0004852375,0.0005502341,0.0004084173,0.0002716994,0.0008642219,0.0003918931,0.0003441205,0.001013],"category_scores_gemma":[0.003070107,0.0001809755,0.000523588,0.000328422,0.0002912476,0.0003101542,0.0006160364,0.0007404216,0.0004290461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000320236,"about_ca_system_score_gemma":0.0004573166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192456,"about_ca_topic_score_gemma":0.001430683,"domain_scores_codex":[0.9989599,0.0004879234,0.0000493189,0.0002288592,0.0001261096,0.0001478391],"domain_scores_gemma":[0.9984805,0.0006256356,0.0003769059,0.0002364294,0.0001535294,0.0001269357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001975467,0.0001778277,0.9752841,0.00002514127,0.0002213336,0.0001333477,0.0001445105,0.001573049,0.01080296,0.0001289354,0.0002949315,0.009238437],"study_design_scores_gemma":[0.00007998727,0.001334229,0.9767888,0.00002022617,0.0002103075,0.0004730922,0.0002627759,0.01213558,0.007087554,0.0003680929,0.001217245,0.00002199862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977187,0.0002345036,0.00111196,0.00005425769,0.000007380702,0.0000140374,0.0004143867,0.00001530226,0.0004295277],"genre_scores_gemma":[0.9985928,0.00005807334,0.0005482729,0.00003150517,0.00001207886,0.00001216418,0.0005539687,0.000004545893,0.0001866519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002695094,"threshold_uncertainty_score":0.0142532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1227664868416949,"score_gpt":0.485899949894982,"score_spread":0.3631334630532871,"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."}}