{"id":"W3209756411","doi":"10.1016/j.ibneur.2021.10.003","title":"Urinary metabolomic signatures as indicators of injury severity following traumatic brain injury: A pilot study","year":2021,"lang":"en","type":"article","venue":"IBRO Neuroscience Reports","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Alberta; University of Calgary; University of Lethbridge","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Hotchkiss Brain Institute; Hotchkiss Brain Institute, University of Calgary","keywords":"Traumatic brain injury; Metabolomics; Urinary system; Medicine; Urine; Internal medicine; Bioinformatics; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002217731,0.000349664,0.0009332608,0.0006533171,0.0002428003,0.00008825299,0.0003691798,0.00009875046,0.0001864963],"category_scores_gemma":[0.006058771,0.0003137626,0.0002565761,0.002704154,0.0004077787,0.0003712877,0.0003984767,0.0007387581,0.000009503853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009707008,"about_ca_system_score_gemma":0.001491211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008818769,"about_ca_topic_score_gemma":0.000005631814,"domain_scores_codex":[0.9942253,0.0005327204,0.001217606,0.001159588,0.002158481,0.0007063212],"domain_scores_gemma":[0.9970307,0.0003559623,0.0005047076,0.001500335,0.0001444839,0.0004637765],"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":[0.0008299297,0.00871094,0.1218392,0.0004196773,0.0001482392,0.02239551,0.001689605,0.000004557833,0.8325077,0.00008263083,0.001563004,0.009809016],"study_design_scores_gemma":[0.001207822,0.01569249,0.8560328,0.0003253909,0.000281844,0.004092638,0.001564646,0.00007459165,0.1182143,0.0009556051,0.001011824,0.0005459921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946665,0.0001906193,0.00002294907,0.0007954419,0.0008714643,0.001381663,0.0000113583,0.0001467602,0.001913276],"genre_scores_gemma":[0.9974899,0.00001162604,0.0004252519,0.0008973684,0.00005348085,0.00008411486,0.000004751941,0.00005294907,0.0009805571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7341936,"threshold_uncertainty_score":0.9999315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06174038655994894,"score_gpt":0.3801294864740595,"score_spread":0.3183890999141105,"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."}}