{"id":"W3028711203","doi":"10.1016/j.cell.2020.05.032","title":"Proteomic and Metabolomic Characterization of COVID-19 Patient Sera","year":2020,"lang":"en","type":"article","venue":"Cell","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":1632,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China; SCIEX","keywords":"Metabolomics; Biology; Proteomics; Coronavirus disease 2019 (COVID-19); Metabolite; Cohort; Metabolome; Proteome; Immunology; Bioinformatics; Internal medicine; Medicine; Disease; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005381533,0.0006082635,0.0004749231,0.001497674,0.0005458746,0.00100489,0.0002724612,0.0004963282,0.001451703],"category_scores_gemma":[0.001233745,0.0001504735,0.0003892204,0.0008834199,0.0003287394,0.0002522447,0.0005057797,0.0005843875,0.000658415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000291008,"about_ca_system_score_gemma":0.000322254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008815835,"about_ca_topic_score_gemma":0.0006887324,"domain_scores_codex":[0.9994534,0.00006861095,0.00006897953,0.00009912876,0.0002057707,0.0001041876],"domain_scores_gemma":[0.9996606,0.00006253472,0.00003994893,0.00002760039,0.0001389251,0.00007041026],"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":[0.003776306,0.0005482739,0.2300791,0.000401857,0.0003011539,0.009107644,0.000854563,0.0003066236,0.7157954,0.0004954905,0.003095319,0.03523829],"study_design_scores_gemma":[0.0001648423,0.002971111,0.5430526,0.0001963188,0.0005887045,0.02691861,0.001931443,0.002739259,0.3876713,0.0007339008,0.03295466,0.00007736601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840955,0.003828174,0.002242278,0.000603676,0.0001975264,0.0001411163,0.003683656,0.0001182129,0.005089843],"genre_scores_gemma":[0.9882295,0.001466989,0.002518335,0.0008419727,0.0001300179,0.00008298584,0.004815678,0.00003066253,0.001883855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001497674,"threshold_uncertainty_score":0.004856408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04900011400692078,"score_gpt":0.3606177979861193,"score_spread":0.3116176839791985,"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."}}