{"id":"W2564254866","doi":"10.1038/srep38718","title":"Parallel Metabolomic Profiling of Cerebrospinal Fluid and Serum for Identifying Biomarkers of Injury Severity after Acute Human Spinal Cord Injury","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Victoria Hospital; Centre Hospitalier Universitaire Sainte-Justine; Dalhousie University; International Collaboration On Repair Discoveries; University of British Columbia; Vancouver Spine Surgery Institute; Hôpital du Sacré-Cœur de Montréal; Université de Montréal; University of Alberta","funders":"Alberta Innovates; Rick Hansen Institute; Canadian Institutes of Health Research; Genome Canada; Craig H. Neilsen Foundation; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Medicine; Metabolome; Metabolomics; Biomarker; Spinal cord injury; Cerebrospinal fluid; Internal medicine; Traumatic brain injury; Metabolite; Bioinformatics; Spinal cord; Chemistry; Biology; Biochemistry","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":[0.0003996493,0.0003899089,0.0004780352,0.001298042,0.000349615,0.0005417634,0.0001576394,0.0002687487,0.0004178779],"category_scores_gemma":[0.0009329578,0.0001150801,0.0002359717,0.000894926,0.0002351784,0.0002025939,0.0003089946,0.0003196122,0.0001733589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00023189,"about_ca_system_score_gemma":0.0005193744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350276,"about_ca_topic_score_gemma":0.002299628,"domain_scores_codex":[0.9996825,0.00007303711,0.00003205536,0.00008169089,0.00009146293,0.00003925052],"domain_scores_gemma":[0.9997688,0.00002911991,0.00005658155,0.00002869306,0.00008037987,0.00003650317],"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":[0.00389752,0.000378569,0.1073035,0.000163881,0.0002004204,0.0001818634,0.000213178,0.0005018066,0.8367382,0.0001731545,0.0003824837,0.04986545],"study_design_scores_gemma":[0.00009473372,0.003440555,0.5731335,0.00004936357,0.0002988564,0.001151016,0.0003379257,0.008161657,0.4100839,0.0005362969,0.002645656,0.00006661944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903137,0.001456362,0.005598533,0.00009410938,0.00003890025,0.0001411186,0.001715474,0.00009393481,0.0005477578],"genre_scores_gemma":[0.9854093,0.0008368727,0.01067699,0.0001378275,0.00002967653,0.0001519959,0.002186096,0.00001751966,0.0005537844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001350276,"threshold_uncertainty_score":0.002684832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04857475219938195,"score_gpt":0.3936882063229415,"score_spread":0.3451134541235595,"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."}}