{"id":"W2997468720","doi":"10.1089/neu.2018.6083","title":"Interleukin-8 Predicts Fatigue at 12 Months Post-Injury in Children with Traumatic Brain Injury","year":2019,"lang":"en","type":"article","venue":"Journal of Neurotrauma","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; Université de Montréal; SickKids Foundation; Centre Hospitalier Universitaire Sainte-Justine","funders":"Hospital for Sick Children; National Health and Medical Research Council; State Government of Victoria; Medical Research Council; University of Warwick; Ontario Neurotrauma Foundation; Children's Hospital Foundation","keywords":"Medicine; Glasgow Coma Scale; Traumatic brain injury; Biomarker; Enolase; Injury Severity Score; Internal medicine; Poison control; Injury prevention; Physical therapy; Emergency medicine; Surgery; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003216806,0.0002002323,0.0005152844,0.0004078533,0.00003350579,0.00002711785,0.0001389398,0.00009662296,0.00008912282],"category_scores_gemma":[0.000131158,0.0001398016,0.000216933,0.0002160436,0.00007061276,0.0002676553,0.00003505422,0.0005349615,0.00003165765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447341,"about_ca_system_score_gemma":0.0001281083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002068873,"about_ca_topic_score_gemma":0.0000250246,"domain_scores_codex":[0.9982393,0.0001140384,0.0006199158,0.0001951163,0.0005715442,0.0002600894],"domain_scores_gemma":[0.9989235,0.00009391061,0.0003863286,0.0002518005,0.0001472204,0.0001972622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004437544,0.0003292071,0.9491225,0.0001406674,0.0002712337,0.0002082386,0.002050774,0.0001875257,0.02537282,0.00001486222,0.003870148,0.01399441],"study_design_scores_gemma":[0.003641382,0.002648707,0.9898648,0.0006673266,0.000103696,0.0006371417,0.0001770089,0.00009445655,0.001540934,0.00001762326,0.0004634416,0.0001435404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958164,0.0000738914,0.00001733218,0.001729502,0.0007041738,0.0007023116,0.00001303714,0.00001859791,0.0009247359],"genre_scores_gemma":[0.9984775,0.00003336074,0.00012144,0.0007506337,0.0003340495,0.000005031689,0.00001029424,0.00003989219,0.0002278602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04074217,"threshold_uncertainty_score":0.5700945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02304635265170898,"score_gpt":0.2970414333032572,"score_spread":0.2739950806515482,"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."}}