{"id":"W2976342849","doi":"10.12688/f1000research.20445.1","title":"Discovery of novel plasma biomarker ratios to discriminate traumatic brain injury","year":2019,"lang":"en","type":"preprint","venue":"F1000Research","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University Health Network; Western University; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Biomarker; Traumatic brain injury; Medicine; Physiology; Enolase; Neurodegeneration; Pathology; Internal medicine; Biology; Immunohistochemistry; Disease; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006930329,0.0003328481,0.0004172543,0.0002633357,0.0000595538,0.0001266238,0.000894746,0.0004288384,0.00005942095],"category_scores_gemma":[0.0004411267,0.0002969718,0.0002607875,0.0001788363,0.0001551595,0.000008815944,0.002172873,0.0004053353,0.00005411947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003774038,"about_ca_system_score_gemma":0.0004681919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002233214,"about_ca_topic_score_gemma":0.00008706824,"domain_scores_codex":[0.9975611,0.0001471534,0.0004652777,0.0007813181,0.0005396839,0.000505446],"domain_scores_gemma":[0.9982299,0.00005901949,0.0001419304,0.00121888,0.00020806,0.0001422531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004356857,0.0003122021,0.0004376139,0.0006676947,0.0001593953,0.000003353735,0.0001688801,0.0002830415,0.9736453,0.0002426267,0.01943412,0.004210128],"study_design_scores_gemma":[0.001313222,0.001228714,0.01076781,0.0007167289,0.00004214555,0.000008161472,0.0004153777,0.003168748,0.9662279,0.0002684265,0.01491091,0.0009318489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836094,0.0002131915,0.009570077,0.001228228,0.0003249772,0.001641652,0.0009527564,0.00001519229,0.002444533],"genre_scores_gemma":[0.9854782,0.00007307842,0.001433553,0.0001945595,0.0002159044,0.0002356699,0.000612433,0.00008392154,0.01167265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0103302,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07318708256254103,"score_gpt":0.3687312153133595,"score_spread":0.2955441327508184,"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."}}