{"id":"W2132358410","doi":"10.1371/journal.pone.0079207","title":"Cytokines and Signaling Molecules Predict Clinical Outcomes in Sepsis","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Mitacs; Providence Health Care","keywords":"Medicine; Septic shock; Sepsis; Internal medicine; Cytokine; Logistic regression; Subgroup analysis; Shock (circulatory); Neopterin; Coagulopathy; Immunology; Gastroenterology; Meta-analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007228946,0.0003937829,0.0003457235,0.00061849,0.0001866264,0.00043551,0.0001590797,0.0002951084,0.001244169],"category_scores_gemma":[0.002227918,0.0001073811,0.0002189449,0.0005238823,0.0002250985,0.0001888657,0.0002867551,0.000436015,0.0002636281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745756,"about_ca_system_score_gemma":0.0002780797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002642693,"about_ca_topic_score_gemma":0.0002131975,"domain_scores_codex":[0.9996818,0.0001149672,0.00003711292,0.00005432915,0.00007377252,0.00003804128],"domain_scores_gemma":[0.9982483,0.0005499357,0.000698244,0.00006000154,0.00019135,0.0002520586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001426252,0.00006635404,0.9847514,0.00006368524,0.00009075933,0.00005037888,0.00003227931,0.0005000342,0.003838024,0.0000200597,0.0002224831,0.00893825],"study_design_scores_gemma":[0.00002898183,0.0003726842,0.9962112,0.00001834329,0.00006435862,0.0002242202,0.00005072126,0.001207934,0.00135318,0.0001557104,0.0003064475,0.000006345647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975508,0.001093225,0.0005243791,0.0001270893,0.00001259867,0.00001834639,0.0003929857,0.00001306252,0.0002675341],"genre_scores_gemma":[0.9982839,0.000256852,0.000791944,0.00003124716,0.00003438942,0.00002070188,0.0004660209,0.000002426664,0.0001124535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001244169,"threshold_uncertainty_score":0.004162133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1659486680321728,"score_gpt":0.3490417991845186,"score_spread":0.1830931311523458,"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."}}