{"id":"W4212803367","doi":"10.1101/2022.02.21.22271198","title":"Performance of plasma amyloid, tau, and astrocyte biomarkers to identify cerebral AD pathophysiology","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Pathophysiology; Tau protein; Glial fibrillary acidic protein; Disease; Amyloid (mycology); Biomarker; Medicine; Pathology; Alzheimer's disease; Internal medicine; Neuroscience; Psychology; Oncology; Biology; Immunohistochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001726513,0.000737799,0.0004749063,0.001388514,0.0002435359,0.001278262,0.0002680884,0.0004302701,0.001879204],"category_scores_gemma":[0.003133087,0.0001358321,0.0002647609,0.0005003421,0.0002843677,0.000333369,0.000299507,0.0002704918,0.0005776844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596385,"about_ca_system_score_gemma":0.0003252491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824924,"about_ca_topic_score_gemma":0.001079783,"domain_scores_codex":[0.9995951,0.0001453987,0.00003475809,0.00008598921,0.00009295043,0.00004575265],"domain_scores_gemma":[0.9989097,0.000446441,0.0002444799,0.00008868612,0.0002068403,0.0001038256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002926563,0.0002254631,0.9058095,0.0001986723,0.0004584663,0.00034123,0.0001991843,0.001406818,0.01984114,0.0002635906,0.001208404,0.06712084],"study_design_scores_gemma":[0.00005623062,0.0007719204,0.9562762,0.0001060451,0.0003159685,0.002222959,0.0003814931,0.008845828,0.02746351,0.001477925,0.002057516,0.00002430319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905267,0.003663613,0.001941469,0.00017584,0.00002773385,0.00002262554,0.0006880313,0.00008939594,0.00286465],"genre_scores_gemma":[0.9973906,0.0004117686,0.001486078,0.00002898121,0.00002303998,0.00001133838,0.0002604767,0.000007885279,0.0003799137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001879204,"threshold_uncertainty_score":0.009130776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596842677209655,"score_gpt":0.3204983610229614,"score_spread":0.2945299342508649,"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."}}