{"id":"W1480925601","doi":"10.3389/fneur.2015.00110","title":"Blood Biomarkers in Moderate-To-Severe Traumatic Brain Injury: Potential Utility of a Multi-Marker Approach in Characterizing Outcome","year":2015,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fowler Kennedy Sport Medicine Clinic; University of Toronto; Defence Research and Development Canada; St. Michael's Hospital","funders":"Center for Neuroscience and Regenerative Medicine","keywords":"Traumatic brain injury; Medicine; Glasgow Outcome Scale; Biomarker; Glial fibrillary acidic protein; Neuroinflammation; Internal medicine; Enolase; Area under the curve; Pathology; Oncology; Inflammation; Biology; Immunohistochemistry","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":[0.002254672,0.0007689305,0.0007391787,0.001811401,0.0001729212,0.0007748611,0.0003402108,0.0004794633,0.0005271208],"category_scores_gemma":[0.003026491,0.0001197136,0.0003257506,0.001191691,0.0002703387,0.0004822258,0.0004831062,0.0006095556,0.0002166318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954507,"about_ca_system_score_gemma":0.0002371523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003622333,"about_ca_topic_score_gemma":0.000495411,"domain_scores_codex":[0.9993899,0.0002409233,0.00007332752,0.0001218045,0.0001206856,0.00005343831],"domain_scores_gemma":[0.9975433,0.0007200004,0.001106935,0.0001135888,0.0002861911,0.0002299254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00264576,0.0003113088,0.9139407,0.0001669784,0.0002947272,0.0001732407,0.0001279289,0.002569452,0.02346052,0.000140576,0.0003857877,0.05578307],"study_design_scores_gemma":[0.00005132426,0.003319753,0.9664384,0.00006940279,0.0003024289,0.0008779231,0.0001343227,0.01350834,0.01326567,0.0008409211,0.001136447,0.0000551637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837006,0.003913329,0.01056036,0.000198051,0.00003609078,0.00007177235,0.0006264123,0.000101512,0.0007918662],"genre_scores_gemma":[0.9921424,0.0006043524,0.006525009,0.00007449172,0.00007014305,0.00006384662,0.0003307535,0.000007946775,0.0001809378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002254672,"threshold_uncertainty_score":0.01192397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04862212602056288,"score_gpt":0.2885827427018159,"score_spread":0.2399606166812531,"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."}}