{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.002373255,0.000200871,0.0005463451,0.0001605366,0.0003206363,0.00006711519,0.0005791566,0.0000865219,0.00008268203],"category_scores_gemma":[0.09794023,0.0001408329,0.0001220827,0.001676309,0.003724616,0.0007955998,0.0004072192,0.0004193232,0.00002172267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002006658,"about_ca_system_score_gemma":0.003487566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003285414,"about_ca_topic_score_gemma":0.00005665348,"domain_scores_codex":[0.9963051,0.0001989505,0.000587202,0.0008814599,0.00142501,0.0006022915],"domain_scores_gemma":[0.9958509,0.002147412,0.0001872574,0.0006808777,0.0007393101,0.0003942156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003192053,0.0003462554,0.1444263,0.0002309927,0.00004149016,0.0001464637,0.0003189012,0.00006876051,0.8503373,0.0006530896,0.000009075502,0.003102171],"study_design_scores_gemma":[0.001090513,0.001605106,0.0464719,0.0001021552,0.00005192275,0.000007103813,0.000977286,0.0009329633,0.9417001,0.004230942,0.002639533,0.0001904638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964774,0.0004416906,0.0004391079,0.001389239,0.0002030234,0.0003936593,0.00005004105,0.0001136191,0.0004921817],"genre_scores_gemma":[0.9948312,0.0003251304,0.003282686,0.001300031,0.00005979721,0.00003743304,0.00001807504,0.000009329575,0.0001362942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0979544,"threshold_uncertainty_score":0.9989867,"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."}}