{"id":"W4312080702","doi":"10.1111/jcmm.17622","title":"COVID‐19 plasma proteome reveals novel temporal and cell‐specific signatures for disease severity and high‐precision disease management","year":2022,"lang":"en","type":"article","venue":"Journal of Cellular and Molecular Medicine","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University; Children’s Health Research Institute","funders":"Academic Medical Organization of Southwestern Ontario","keywords":"Immune system; Proteome; Disease; Immunology; Medicine; Sepsis; Inflammation; Proteomics; Plasma cell; Biology; Antibody; Bioinformatics; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001876117,0.0002307856,0.0006316185,0.0003024469,0.0003058312,0.0000221596,0.0001353073,0.00004540772,0.00007699121],"category_scores_gemma":[0.004756041,0.0001680153,0.000134795,0.0001757751,0.00032398,0.00005957475,0.0003816006,0.0004848385,1.830025e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001238387,"about_ca_system_score_gemma":0.0002829411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009364388,"about_ca_topic_score_gemma":2.096376e-7,"domain_scores_codex":[0.9974192,0.0001500669,0.0006239876,0.0004088792,0.001105965,0.0002919378],"domain_scores_gemma":[0.9961995,0.0008449306,0.0002945433,0.0002644945,0.0001768861,0.002219598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.07043229,0.004163092,0.01652086,0.02782794,0.002029923,0.03517893,0.001879142,0.000767818,0.7369584,0.004567098,0.06742655,0.03224797],"study_design_scores_gemma":[0.07870943,0.01349418,0.09522988,0.002175373,0.00453719,0.0001993044,0.001648568,0.005568028,0.002562412,0.03359088,0.7609494,0.001335303],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7768764,0.04532033,0.09840105,0.07514916,0.000361609,0.003633772,0.0001623513,0.00002771681,0.00006759126],"genre_scores_gemma":[0.9900555,0.003212051,0.00189944,0.004008037,0.0002095831,0.00006871842,0.00003555586,0.00002779452,0.0004832957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.734396,"threshold_uncertainty_score":0.6851466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285738204661528,"score_gpt":0.3460407497929985,"score_spread":0.3174669293268457,"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."}}