{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002518351,0.0005099845,0.004253006,0.001303119,0.00004768256,0.00004202503,0.0002687362,0.0002529802,0.0001031195],"category_scores_gemma":[0.0007573597,0.0003771118,0.002142812,0.00335346,0.0000923978,0.00006509883,0.00009244779,0.000583917,0.0003114868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004873473,"about_ca_system_score_gemma":0.0001378271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001980763,"about_ca_topic_score_gemma":0.00001768985,"domain_scores_codex":[0.9968387,0.0004233463,0.001023274,0.0007737297,0.0004768091,0.0004640783],"domain_scores_gemma":[0.9983295,0.000470218,0.0001654949,0.0007665505,0.0001005537,0.0001677328],"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":[0.00002190084,0.000310751,0.003689362,0.04179592,0.004593239,0.0001341277,0.0002107058,6.577374e-7,2.672835e-7,0.0006801051,0.0002022817,0.9483607],"study_design_scores_gemma":[0.0004979662,0.00004452387,0.02371815,0.002306338,0.03625571,0.00000606408,0.00004261438,0.000002511324,0.000003009045,0.0000271488,0.9367655,0.0003305018],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001119606,0.9967429,0.000003034819,0.00001553193,0.0003527247,0.0009158925,0.0002208828,0.000131244,0.0004981633],"genre_scores_gemma":[0.0003336272,0.9976122,0.0001588729,0.0001029639,0.0001516892,0.0002148294,0.001041563,0.00008718516,0.0002970489],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9480302,"threshold_uncertainty_score":0.9998681,"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."}}