{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002283966,0.0002847945,0.0009696977,0.0006226923,0.0004729897,0.0002741029,0.0002745858,0.0003734783,0.000493259],"category_scores_gemma":[0.002762984,0.0002169993,0.0003839007,0.0008433579,0.0009750992,0.0003621989,0.0002017884,0.000286977,0.00021515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505176,"about_ca_system_score_gemma":0.001076176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001399473,"about_ca_topic_score_gemma":0.0005170314,"domain_scores_codex":[0.9961484,0.0006444644,0.0014344,0.001171281,0.0001311481,0.0004702703],"domain_scores_gemma":[0.997716,0.0005777619,0.0004462339,0.001103409,0.00009005098,0.00006657374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.4359129,0.001223508,0.007337017,0.0001438697,0.001034346,0.001629907,0.008755051,0.000009215963,0.3033816,0.002510609,0.2364551,0.001606879],"study_design_scores_gemma":[0.4212093,0.00003360589,0.0005490968,0.00009968343,0.0001365918,0.00004091123,0.000327036,0.00001117502,0.02122765,0.0380424,0.5179303,0.0003922426],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468186,0.0021811,0.0009082946,0.0005299138,0.04061173,0.001548962,0.0002646027,0.0001108402,0.007025984],"genre_scores_gemma":[0.9570122,0.00002807137,0.00004035676,0.0008404131,0.00003490608,0.0001284913,0.0006299531,0.00001260377,0.04127304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.282154,"threshold_uncertainty_score":0.8848974,"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."}}