{"id":"W4406419972","doi":"10.1186/s13054-025-05258-1","title":"Metabolomic in severe traumatic brain injury: exploring primary, secondary injuries, diagnosis, and severity","year":2025,"lang":"en","type":"article","venue":"Critical Care","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Hospital for Sick Children; University of British Columbia; SickKids Foundation; University of Toronto; University of Calgary","funders":"Hospital for Sick Children; Ontario Neurotrauma Foundation; Dalhousie University; BC Children's Hospital; Fondation Brain Canada; Genome British Columbia; University of Alberta; Sickkids Research Institute; University of Calgary","keywords":"Medicine; Traumatic brain injury; Intensive care medicine; Emergency medicine; Metabolomics; Primary (astronomy); Bioinformatics; Psychiatry","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":[0.0003900245,0.0005271042,0.0003748555,0.001638724,0.0002044523,0.0005245691,0.0001654428,0.0004023068,0.0009194835],"category_scores_gemma":[0.0004373607,0.0001151407,0.0003688246,0.001175974,0.0002253536,0.0002647889,0.0004006223,0.0003314761,0.0002128732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002810283,"about_ca_system_score_gemma":0.0002917503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107221,"about_ca_topic_score_gemma":0.002295834,"domain_scores_codex":[0.9998096,0.00004007708,0.00001729156,0.00004928793,0.00005137677,0.00003245621],"domain_scores_gemma":[0.9997787,0.00002928585,0.00008748852,0.00001165901,0.00006408682,0.00002881878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003253338,0.0003348551,0.3173606,0.001174815,0.0006603137,0.0006671123,0.0002678952,0.001050017,0.5866798,0.0002644593,0.0009484599,0.08733843],"study_design_scores_gemma":[0.0000303944,0.00159512,0.8900034,0.0001243558,0.0003939749,0.001811923,0.0003956704,0.004426238,0.0965204,0.0009147958,0.00373017,0.00005353917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979941,0.008958939,0.006027802,0.0003139095,0.00005304574,0.0001121559,0.003081568,0.00009319749,0.001418566],"genre_scores_gemma":[0.9843304,0.003895807,0.008649447,0.0002255375,0.00004576303,0.0000883884,0.001964343,0.00001579141,0.000784553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001638724,"threshold_uncertainty_score":0.003076017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09468235229648855,"score_gpt":0.3835884072479065,"score_spread":0.288906054951418,"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."}}