{"id":"W3118496727","doi":"10.1212/wnl.0000000000011524","title":"Temporal Dynamics of β-Amyloid Accumulation in Aging and Alzheimer Disease","year":2021,"lang":"en","type":"article","venue":"Neurology","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Northern California Institute for Research and Education; University of California, San Diego; BioClinica; F. Hoffmann-La Roche; Synarc; University of Southern California; Bristol-Myers Squibb; Eli Lilly and Company; Medpace; Biogen; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; National Institute on Aging; Alzheimer's Association","keywords":"Alzheimer's disease; Amyloid (mycology); Neuroscience; Disease; Dynamics (music); Amyloid β; Medicine; Biology; Pathology; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004178218,0.00006767095,0.0001533419,0.00008228748,0.0000175934,0.000003744726,0.00002115968,0.00003969194,0.00007023347],"category_scores_gemma":[0.00004751898,0.00006335868,0.00003176261,0.0001159843,0.00006495098,0.00004260386,0.00004598702,0.0001057241,0.000005225234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008449269,"about_ca_system_score_gemma":0.0001337728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008183088,"about_ca_topic_score_gemma":0.0001273875,"domain_scores_codex":[0.9993343,0.00007561929,0.0001274783,0.0001911231,0.000113244,0.00015824],"domain_scores_gemma":[0.9995499,0.00005676037,0.0000292212,0.0001513179,0.00004820515,0.000164654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006451793,0.0002249428,0.9950702,0.00002356152,0.0003051937,0.00136548,0.00002026541,0.00001436939,0.0000414629,0.0001944446,0.00001435645,0.002080529],"study_design_scores_gemma":[0.001537214,0.0002147114,0.9898585,0.00001102538,0.0002123574,0.00003929184,0.000006518366,0.007318335,0.0001118848,0.000581772,0.00006622772,0.00004214487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919697,0.004363996,0.000009584815,0.003218757,0.00003062757,0.0001384472,0.00001611322,0.0000110146,0.0002417671],"genre_scores_gemma":[0.9992409,0.0001180759,0.00005792094,0.0003756317,0.0000206534,0.000007773792,0.0001620894,0.000009861342,0.000007106863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007303966,"threshold_uncertainty_score":0.2583692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04458034157105095,"score_gpt":0.3469656722704824,"score_spread":0.3023853306994314,"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."}}