{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009360693,0.0001495427,0.000240268,0.0001725422,0.00006197776,0.0000519562,0.0001004739,0.0001227355,2.467872e-7],"category_scores_gemma":[0.0003218228,0.0001436498,0.00003282025,0.0002577623,0.0002682755,0.00002077115,0.0001334685,0.00002893825,4.049797e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001367403,"about_ca_system_score_gemma":0.00005892301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007408777,"about_ca_topic_score_gemma":0.00001182913,"domain_scores_codex":[0.9988214,0.00003283766,0.0003771396,0.000360544,0.0001146805,0.0002933563],"domain_scores_gemma":[0.9995949,0.00001832948,0.0001110486,0.0001561144,0.00005744089,0.00006221564],"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":[0.0004535157,0.000009195079,0.00008508503,0.00005897609,0.00000887967,0.00000279185,0.00002645332,0.000008869617,0.9963058,0.00001700758,0.000001900117,0.003021477],"study_design_scores_gemma":[0.0003626285,0.001955208,0.01192505,0.00008552823,0.000005947983,0.00001264324,0.0000671065,0.0005680466,0.984755,0.000008630214,0.00009230365,0.0001618661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988638,0.00007754002,0.0001212537,0.00004810138,0.0002660505,0.0005327466,0.00005961428,0.00002882431,0.000002082262],"genre_scores_gemma":[0.9992865,0.0000551753,0.0004533355,0.00001165967,0.0001135301,0.00004168525,0.000009405856,0.00001691373,0.00001180156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01183997,"threshold_uncertainty_score":0.5857871,"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."}}