{"id":"W4380324306","doi":"10.3390/metabo13060745","title":"Metabolomic Analysis in Neurocritical Care Patients","year":2023,"lang":"en","type":"review","venue":"Metabolites","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Metabolome; Metabolomics; Neurointensive care; Medicine; Profiling (computer programming); Disease; MEDLINE; Intensive care medicine; Biomarker discovery; Bioinformatics; Subarachnoid hemorrhage; Computational biology; Pathology; Internal medicine; Computer science; Proteomics; Biology","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":[0.001195025,0.0007369902,0.001916299,0.003816395,0.0002173953,0.001076179,0.0005361673,0.00083794,0.002963483],"category_scores_gemma":[0.003480542,0.0001824355,0.001563511,0.003658068,0.0002653226,0.0007880965,0.0005643877,0.0006983415,0.0004566183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005970991,"about_ca_system_score_gemma":0.001299423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002029794,"about_ca_topic_score_gemma":0.003748977,"domain_scores_codex":[0.9993556,0.0002273931,0.0001887377,0.00007446976,0.0001218034,0.00003202477],"domain_scores_gemma":[0.9987866,0.0007724419,0.0002364095,0.00002247127,0.0001608881,0.00002115999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004581563,0.00007880817,0.003066998,0.2208117,0.001896319,0.0004088172,0.000173264,0.0002987324,0.0009809083,0.001237542,0.01247809,0.7581106],"study_design_scores_gemma":[0.0003024704,0.0008352285,0.0535398,0.2923381,0.01551446,0.007706599,0.0008309957,0.0008294461,0.003330419,0.005947056,0.6186221,0.0002034321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000367712,0.9988175,0.0001080146,0.0001753822,0.00007039913,0.00001619963,0.00008763177,0.000003634315,0.0003536085],"genre_scores_gemma":[0.00412153,0.9950112,0.0003630099,0.0001621269,0.00008851719,0.00002631653,0.00009991102,0.000001184303,0.0001261632],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003816395,"threshold_uncertainty_score":0.009913862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05808158680662898,"score_gpt":0.3600706046680577,"score_spread":0.3019890178614287,"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."}}