{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000388419,0.0003001129,0.0002924424,0.0004507637,0.0001755138,0.0003340518,0.0002230279,0.00037779,0.0007640105],"category_scores_gemma":[0.002546212,0.0001618965,0.0003879429,0.0003872518,0.0001934185,0.0003166914,0.0003002898,0.0005445879,0.0001857774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003218155,"about_ca_system_score_gemma":0.0002303709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00590997,"about_ca_topic_score_gemma":0.00831035,"domain_scores_codex":[0.9997821,0.00004777657,0.00003018808,0.00003643646,0.00004596714,0.00005746381],"domain_scores_gemma":[0.9987273,0.0002095312,0.0007237102,0.0000287493,0.0001393821,0.0001712308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003947733,0.000009126091,0.9990867,0.000004815514,0.000007304689,0.00003136868,0.00004093523,0.0000272105,0.00008467759,0.00000235161,0.00004021735,0.0006257113],"study_design_scores_gemma":[0.000002277374,0.00007341052,0.9994159,0.000006005736,0.000008035368,0.000167294,0.0001041389,0.0001204621,0.00004467873,0.000003608709,0.00005303576,0.000001191964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994055,0.0002811782,0.00003578607,0.00004298364,0.000003733898,0.000003046568,0.0001099288,0.000002296424,0.00011554],"genre_scores_gemma":[0.9994776,0.000136497,0.00007874911,0.00001701442,0.000005773109,0.000005557179,0.000203468,8.277199e-7,0.0000745647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00590997,"threshold_uncertainty_score":0.01175117,"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."}}