{"id":"W4378877784","doi":"10.51542/ijscia.v4i3.4","title":"High Serum S100B Protein Levels As A Predictor Of Cognitive Function Disorders In Moderate Traumatic Brain Injury Patients","year":2023,"lang":"en","type":"article","venue":"International Journal Of Scientific Advances","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traumatic brain injury; Medicine; Internal medicine; Depression (economics); Univariate analysis; Montreal Cognitive Assessment; Confidence interval; Prospective cohort study; Multivariate analysis; Psychiatry; Cognitive impairment; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004045503,0.0002769706,0.0002764166,0.0007289359,0.0003850477,0.0004857146,0.0002636143,0.0003693049,0.001570867],"category_scores_gemma":[0.001387135,0.0002309496,0.0004633554,0.0006585254,0.0002023672,0.0002758561,0.0003843038,0.0005331084,0.0002160281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159742,"about_ca_system_score_gemma":0.0003390331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00211773,"about_ca_topic_score_gemma":0.002558088,"domain_scores_codex":[0.9997576,0.00004990439,0.0000357213,0.00004662091,0.00005697826,0.00005317556],"domain_scores_gemma":[0.9992237,0.00008091433,0.0004076204,0.00003561924,0.00007939708,0.0001726823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000175832,0.00004631185,0.9991776,0.000005911893,0.00003193441,0.00006640657,0.00002117231,0.000007563814,0.0001002755,0.000003937246,0.0000288747,0.0003342049],"study_design_scores_gemma":[0.00000917565,0.0001810109,0.9991876,0.000004518634,0.00002606253,0.0003184873,0.00009916585,0.00007218791,0.00003740341,0.00001033778,0.00005208553,0.000001899697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995732,0.0001257226,0.00002656913,0.00001991187,0.000004586421,0.000004968533,0.00009934934,8.784279e-7,0.0001448757],"genre_scores_gemma":[0.9996949,0.00005050774,0.00003218171,0.0000104606,0.000006934923,0.000004648718,0.0001311741,3.528676e-7,0.00006871673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00211773,"threshold_uncertainty_score":0.005255103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304582777894967,"score_gpt":0.2895570791720433,"score_spread":0.2765112513930936,"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."}}