{"id":"W4366083282","doi":"10.1021/acsbiomaterials.3c00048","title":"Nanoporous Carbon Immunosensor for Highly Accurate and Sensitive Clinical Detection of Glial Fibrillary Acidic Protein in Traumatic Brain Injury, Stroke, and Spinal Cord Injury","year":2023,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre; Alberta Children's Hospital; York University; University of Calgary","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Government of Canada; Alberta Innovates; Alberta Innovates Bio Solutions; Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Glial fibrillary acidic protein; Traumatic brain injury; Spinal cord injury; Stroke (engine); Medicine; Spinal cord; Biomedical engineering; Pathology","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":[0.0002934036,0.0003891209,0.0003015245,0.0005080555,0.0001774204,0.0002334041,0.0004880204,0.0009894412,0.0004691784],"category_scores_gemma":[0.0005570082,0.0002285267,0.0003552372,0.0002172787,0.0001982953,0.0002362067,0.0002590614,0.0002915662,0.0002714304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003651741,"about_ca_system_score_gemma":0.0002764698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104109,"about_ca_topic_score_gemma":0.00214345,"domain_scores_codex":[0.9995261,0.00004568044,0.00003363443,0.0001165256,0.0002369001,0.00004123909],"domain_scores_gemma":[0.99978,0.00004828491,0.00003836433,0.00001753878,0.0000933436,0.00002243577],"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":[0.00004547377,0.00002417331,0.0001625944,0.00005173741,0.000009202328,0.00009398153,0.00001213893,0.0002843374,0.9954605,0.00005152155,0.00007445257,0.003729916],"study_design_scores_gemma":[0.000008746189,0.0002136556,0.002065945,0.000008628504,0.0000199668,0.0003198374,0.00002162681,0.007528052,0.9883857,0.00005256163,0.00135456,0.00002078398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8759763,0.007509858,0.1089566,0.0004918518,0.0004830665,0.0002017014,0.0006484858,0.001153407,0.004578719],"genre_scores_gemma":[0.9379208,0.001490104,0.05722622,0.0002701151,0.00004610959,0.00009832661,0.0002660623,0.00002481983,0.00265744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001104109,"threshold_uncertainty_score":0.002649486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177160612010157,"score_gpt":0.3152184094592084,"score_spread":0.2934468033391068,"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."}}