{"id":"W2297361622","doi":"10.1016/j.ebiom.2016.03.006","title":"A Transcriptomic Biomarker to Quantify Systemic Inflammation in Sepsis — A Prospective Multicenter Phase II Diagnostic Study","year":2016,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Universitätsklinikum Jena; Thüringer Aufbaubank; Bundesministerium für Bildung und Forschung","keywords":"Systemic inflammation; Sepsis; Biomarker; Medicine; Inflammation; Prospective cohort study; Multicenter study; Transcriptome; Acute-phase protein; Bioinformatics; Immunology; Internal medicine; Biology; Gene expression; Gene","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":[0.0004173658,0.0003077955,0.0006493558,0.000693312,0.00007176958,0.00001167947,0.00009862633,0.00008480102,0.0002797763],"category_scores_gemma":[0.0006738654,0.000179015,0.0001005089,0.0006795395,0.00006713528,0.0001111615,0.00004169163,0.00009188891,0.0002148807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005552644,"about_ca_system_score_gemma":0.00005877883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002253034,"about_ca_topic_score_gemma":0.0002051214,"domain_scores_codex":[0.9977838,0.00009899405,0.0006840935,0.0005863202,0.0004449018,0.0004019018],"domain_scores_gemma":[0.9985973,0.0004317791,0.0001060472,0.0004504905,0.0001302085,0.0002841282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002224816,0.01107018,0.7882249,0.0001345541,0.000494145,0.0006876466,0.007839118,4.61965e-7,0.1319362,0.000022375,0.00142142,0.05594422],"study_design_scores_gemma":[0.05474044,0.01144326,0.9176873,0.003076694,0.0005148395,0.00005693422,0.001732763,0.00005719141,0.009461787,0.00001499274,0.0009559662,0.0002578587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844372,0.000445879,0.0002233485,0.009386712,0.0003818485,0.004883678,0.00002948457,0.00009753645,0.0001143082],"genre_scores_gemma":[0.9977683,0.00007387968,0.00009009959,0.0003687359,0.0001888404,0.00120082,0.00002297036,0.00004094581,0.0002454169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1294624,"threshold_uncertainty_score":0.7300021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05743798369965075,"score_gpt":0.3737285072200446,"score_spread":0.3162905235203938,"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."}}