{"id":"W4224620999","doi":"10.1038/s43587-022-00204-0","title":"Biomarker modeling of Alzheimer’s disease using PET-based Braak staging","year":2022,"lang":"en","type":"article","venue":"Nature Aging","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":304,"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":"Fonds de Recherche du Québec - Santé; National Institutes of Health; Olav Thon Stiftelsen; UK Dementia Research Institute; Vetenskapsrådet; Hjärnfonden; European Commission; Government of Canada; Alzheimer's Society; EU Joint Programme – Neurodegenerative Disease Research; National Institute on Aging; Alzheimer's Association; Consortium canadien en neurodégénérescence associée au vieillissement; Canadian Institutes of Health Research; Weston Brain Institute; Stiftelsen för Gamla Tjänarinnor; Familjen Erling-Perssons Stiftelse; Faculty of Medicine, McGill University; Fondation Brain Canada; McGill University","keywords":"Biomarker; Neurodegeneration; Positron emission tomography; Stage (stratigraphy); Pathology; Disease; Cognitive impairment; Alzheimer's disease; Neuroimaging; Medicine; Psychology; Amyloid (mycology); Cognitive decline; Neuroscience; Dementia; Biology","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":[0.0006746507,0.0005945063,0.0003453309,0.0005048559,0.0002369884,0.0008021898,0.0005510159,0.0004049366,0.0005953736],"category_scores_gemma":[0.001641504,0.0002289738,0.0005537202,0.0003051124,0.0003482301,0.0004324035,0.0003379289,0.0003460206,0.000168555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000647055,"about_ca_system_score_gemma":0.0006561255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01321421,"about_ca_topic_score_gemma":0.008434042,"domain_scores_codex":[0.9998653,0.00005865551,0.000008415946,0.00003482576,0.00001487271,0.00001786079],"domain_scores_gemma":[0.9996069,0.0001490717,0.00009955587,0.00003792994,0.00007742077,0.00002911128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003349168,0.00008063953,0.05363584,0.00004679484,0.0001036617,0.0001704767,0.0001218189,0.9138826,0.008634846,0.004617507,0.000644929,0.01772585],"study_design_scores_gemma":[0.000009473577,0.00007330062,0.005758646,0.000003502841,0.00001370598,0.00004138867,0.00001102328,0.9914,0.0005807942,0.001882653,0.000215587,0.000009959651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8209362,0.0003319794,0.1751317,0.0002172481,0.00005377149,0.0001495199,0.000633642,0.0003289361,0.002216975],"genre_scores_gemma":[0.9844902,0.00007914667,0.01421982,0.00001813719,0.000006122759,0.00007331313,0.0002016307,0.0000122001,0.000899352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01321421,"threshold_uncertainty_score":0.02627456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0510708921971222,"score_gpt":0.3589258755056671,"score_spread":0.3078549833085449,"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."}}