{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002813699,0.0001999251,0.0002896568,0.0003664186,0.0003436123,0.00001993169,0.0001310592,0.00003895705,0.0002825169],"category_scores_gemma":[0.00005291841,0.0001881339,0.0002207938,0.0004855335,0.00005058898,0.0001116376,0.0001636563,0.000627413,0.000003491441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001695617,"about_ca_system_score_gemma":0.0006760279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000928607,"about_ca_topic_score_gemma":7.947265e-7,"domain_scores_codex":[0.9978592,0.0001132927,0.0002601722,0.0003888443,0.0009331853,0.0004453517],"domain_scores_gemma":[0.998881,0.00005269477,0.00009595387,0.0004163112,0.0001373366,0.0004166734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009142471,0.006378095,0.721736,0.001653479,0.03784145,0.01977439,0.0007816069,0.1733098,0.01068751,0.001019408,0.001995054,0.01568079],"study_design_scores_gemma":[0.002995946,0.00007841334,0.008917276,0.000221955,0.001996906,0.00004000527,0.0002794321,0.9840019,0.0008855642,0.0001828214,0.0001351356,0.000264607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446802,0.05182526,0.0006572312,0.0009874257,0.0001927197,0.0006591338,0.0001665986,0.0001213778,0.0007100392],"genre_scores_gemma":[0.9976311,0.00001357902,0.001457608,0.0005567532,0.00006194323,0.00002884943,0.0001881057,0.00005181711,0.00001024345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8106921,"threshold_uncertainty_score":0.7671878,"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."}}