{"id":"W4409767082","doi":"10.1038/s41598-025-95122-7","title":"sST2 is a key outcome biomarker in COVID-19: insights from discovery randomized trial","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Assistance publique-Hôpitaux de Paris; Fondation de France; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Coronavirus disease 2019 (COVID-19); Key (lock); Biomarker discovery; Randomized controlled trial; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); MEDLINE; Data science; Medicine; Biomarker; Computer science; Computational biology; Bioinformatics; Biology; Virology; Internal medicine; Proteomics; Disease; Outbreak; Computer security","routes":{"ca_aff":true,"ca_fund":false,"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":[0.009587839,0.0007971901,0.002638795,0.0002001369,0.0002473107,0.001125206,0.0006473326,0.0009064949,0.001735907],"category_scores_gemma":[0.0133793,0.0003071938,0.002649898,0.0004403848,0.0006295198,0.0009638618,0.0006338614,0.002111855,0.0002304215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006206219,"about_ca_system_score_gemma":0.00123956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005316199,"about_ca_topic_score_gemma":0.001315179,"domain_scores_codex":[0.9946333,0.004066932,0.0003364987,0.0003973425,0.0002361628,0.0003297045],"domain_scores_gemma":[0.9910156,0.004875491,0.002328505,0.0006379372,0.0003671574,0.0007752534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9158804,0.001144491,0.03491517,0.002183286,0.01033171,0.0001363875,0.00009798542,0.001047357,0.001896162,0.0007084589,0.001588153,0.03007039],"study_design_scores_gemma":[0.7373874,0.1186038,0.09420606,0.00087029,0.02933203,0.0003720239,0.0002143462,0.007205403,0.002511926,0.002623838,0.006535862,0.0001370232],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759017,0.01757211,0.001180178,0.001933531,0.0004634962,0.0005220654,0.001220022,0.00004041766,0.001166359],"genre_scores_gemma":[0.9931821,0.002192014,0.001272275,0.0006926691,0.0004635699,0.0004988285,0.001051307,0.00001215122,0.0006351937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009587839,"threshold_uncertainty_score":0.05070597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576518644044479,"score_gpt":0.2931851867167852,"score_spread":0.2674200002763404,"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."}}