{"id":"W2636783669","doi":"10.1016/j.neuroimage.2017.06.070","title":"Distinguishing early and late brain aging from the Alzheimer's disease spectrum: consistent morphological patterns across independent samples","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Seventh Framework Programme; Norges Forskningsråd; Genentech; National Institutes of Health; Servier; U.S. Department of Defense; Eli Lilly and Company; Lundbeckfonden; Eisai; Stiftelsen Kristian Gerhard Jebsen; Pfizer; BioClinica; Biogen; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Roche; Merck; Alzheimer's Drug Discovery Foundation; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative; Johnson and Johnson; Meso Scale Diagnostics; Helse Sør-Øst RHF; Takeda Pharmaceutical Company; AbbVie; Fujirebio Europe; Alzheimer's Association","keywords":"Multivariate statistics; Psychology; Cognition; Multivariate analysis; Alzheimer's disease; Cognitive impairment; Gray (unit); Disease; Audiology; Neuroscience; Internal medicine; Medicine; Nuclear medicine; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001449939,0.0005008533,0.0005441969,0.001199832,0.000538051,0.0008082961,0.0003944995,0.0005041983,0.001294183],"category_scores_gemma":[0.003612373,0.0002150048,0.0003886957,0.0004597398,0.0008746318,0.0005620104,0.0007714593,0.0003570929,0.0003291825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001938313,"about_ca_system_score_gemma":0.0002193854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002304981,"about_ca_topic_score_gemma":0.006723642,"domain_scores_codex":[0.9994759,0.00009969349,0.00008436391,0.0001856625,0.00009257295,0.00006188593],"domain_scores_gemma":[0.9987352,0.0003541553,0.0002160261,0.000278513,0.0003032881,0.0001129083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005465043,0.0004167996,0.7749022,0.0002078632,0.001397278,0.001147719,0.003788088,0.0002510048,0.1613617,0.0004048946,0.001152773,0.04950482],"study_design_scores_gemma":[0.00002725973,0.0001531912,0.9950859,0.00001121393,0.0001592464,0.0009230097,0.0003410723,0.0001339065,0.002545401,0.0002143498,0.0003974274,0.000008120424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978254,0.0002709629,0.0009597209,0.00002981885,0.00001263747,0.00002795724,0.0002660725,0.00002016844,0.0005873833],"genre_scores_gemma":[0.9985422,0.0001053525,0.0005909892,0.0000354649,0.00001093042,0.0000213733,0.0003833697,0.00002884472,0.0002815015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002304981,"threshold_uncertainty_score":0.007668138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035271950344329,"score_gpt":0.316987033739751,"score_spread":0.2134598387053181,"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."}}