{"id":"W7106417602","doi":"10.1016/j.neumar.2025.100147","title":"Biases and consistency of different assay methods for neurological biomarkers using Quanterix single-molecule-array technology: A comparative study of the secondary analysis method","year":2025,"lang":"en","type":"article","venue":"NeuroMarkers.","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; Children's Hospital of Eastern Ontario; University of British Columbia","funders":"Institute of Aging; National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neurology; Multiplex; Biomarker; Glial fibrillary acidic protein; Correlation; Consistency (knowledge bases)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004016508,0.0002646408,0.001028251,0.0005866956,0.0001380737,0.00001237829,0.0001570601,0.0001124041,0.00001610144],"category_scores_gemma":[0.0005795567,0.0001696634,0.0003482595,0.001199537,0.0002451675,0.00002757835,0.0001441656,0.0001552712,4.660028e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002671742,"about_ca_system_score_gemma":0.00007888641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002838458,"about_ca_topic_score_gemma":0.00002304035,"domain_scores_codex":[0.9975123,0.001056093,0.0005126375,0.000538394,0.0001674097,0.0002131007],"domain_scores_gemma":[0.9979264,0.001025044,0.0003236236,0.0005109282,0.0001402215,0.00007377879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003424211,0.005987459,0.3202242,0.0002712691,0.01360275,0.00005256353,0.0004426362,0.00001303674,0.6310525,0.0002809106,0.00003633545,0.0246121],"study_design_scores_gemma":[0.009289835,0.005754179,0.7980112,0.0002254058,0.02179609,0.00005067213,0.003349264,0.02258736,0.1375766,0.0008398293,0.0002080429,0.0003114265],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713739,0.0005525764,0.02600972,0.0003001568,0.0001193854,0.001304304,0.00005969992,0.00003158407,0.0002487211],"genre_scores_gemma":[0.9715416,0.000007436395,0.02821686,0.0001338018,0.000003144693,0.00006270344,0.000006516426,0.00001217307,0.00001579127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4934759,"threshold_uncertainty_score":0.6918674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08006968131436452,"score_gpt":0.4035814912680373,"score_spread":0.3235118099536728,"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."}}