{"id":"W4316928210","doi":"10.1152/ajplung.00278.2022","title":"Plasma metabolic profiling implicates dysregulated lipid metabolism and glycolytic shift in hyperinflammatory ARDS","year":2023,"lang":"en","type":"article","venue":"American Journal of Physiology-Lung Cellular and Molecular Physiology","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute","keywords":"ARDS; Medicine; Phenotype; Confounding; Lipid metabolism; Glycolysis; Internal medicine; Bioinformatics; Metabolism; Biology; Lung; Biochemistry","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":[0.0004891381,0.0003725512,0.000428519,0.0007017493,0.0002562636,0.0007013859,0.0001457869,0.0002959867,0.0007741366],"category_scores_gemma":[0.0009642376,0.000160809,0.0003076773,0.0007867357,0.0003150504,0.000239217,0.0004845303,0.000500854,0.0001297221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324746,"about_ca_system_score_gemma":0.0002189937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009008097,"about_ca_topic_score_gemma":0.0008847172,"domain_scores_codex":[0.9997416,0.00008887535,0.00003324534,0.00005225181,0.00004632738,0.00003766605],"domain_scores_gemma":[0.9991973,0.0001263935,0.0004407887,0.00007451593,0.00004608603,0.0001148251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001829306,0.00007817301,0.962396,0.00002808991,0.0001362674,0.0003376209,0.00007358003,0.0004555199,0.0295255,0.00009268289,0.00008933753,0.004957967],"study_design_scores_gemma":[0.00001939785,0.0002066156,0.9955612,0.000006527395,0.00003753027,0.0004655977,0.00008135053,0.001175464,0.002111183,0.0002194172,0.000109467,0.000006266909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988183,0.0001909323,0.0005305379,0.0000468573,0.000002757339,0.000005400491,0.0002141054,0.000009236795,0.0001818346],"genre_scores_gemma":[0.9993206,0.00006398078,0.0003335197,0.00002626828,0.000005483608,0.000004062084,0.0002027293,0.000002659558,0.00004073884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009008097,"threshold_uncertainty_score":0.002589762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233782772213295,"score_gpt":0.2723556660113818,"score_spread":0.2600178382892488,"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."}}