{"id":"W4311576468","doi":"10.1186/s12974-022-02654-0","title":"Temporal proteomics of human cerebrospinal fluid after severe traumatic brain injury","year":2022,"lang":"en","type":"article","venue":"Journal of Neuroinflammation","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"Medical Research Council; Veski; National Health and Medical Research Council; U.S. Department of Defense","keywords":"Traumatic brain injury; Cerebrospinal fluid; Proteomics; Medicine; Downregulation and upregulation; Proteome; Pathophysiology; Innate immune system; Neuroinflammation; Immunology; Inflammation; Immune system; Bioinformatics; Pathology; Biology; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003307467,0.0000964248,0.0001528375,0.00009209826,0.00009087886,0.00001607145,0.0001650031,0.00004129234,0.00009257242],"category_scores_gemma":[0.00005258715,0.0000921419,0.0001419179,0.0000823009,0.00002866002,0.00001428487,0.00008043262,0.0001632836,8.912237e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002005435,"about_ca_system_score_gemma":0.00008450721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004110689,"about_ca_topic_score_gemma":0.000004078473,"domain_scores_codex":[0.9989228,0.0001195796,0.0004966496,0.0001052936,0.0002480278,0.0001076824],"domain_scores_gemma":[0.9991698,0.000005079183,0.0005220838,0.0001568682,0.0001023719,0.00004380066],"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":[0.0003659553,0.00006875662,0.001290527,0.00004319342,0.00002019986,0.00001289351,0.0001057211,0.0002388583,0.9961407,0.00003440031,0.0008778674,0.0008009852],"study_design_scores_gemma":[0.001731453,0.007654203,0.03697947,0.00007101567,0.00004391259,0.0006566137,0.0003249191,0.0002619956,0.9443369,0.000686529,0.006936044,0.000316924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989296,0.00006216913,0.0002457559,0.0003432917,0.0001034737,0.0001950438,0.00001417768,0.000002924297,0.0001035432],"genre_scores_gemma":[0.9988622,0.000005819869,0.0006203886,0.00006451866,0.0002280932,0.00001393005,0.00001742821,0.00001675578,0.0001708491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05180372,"threshold_uncertainty_score":0.3757437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300084791945307,"score_gpt":0.2617113473058718,"score_spread":0.2487104993864187,"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."}}