{"id":"W2941588248","doi":"10.1101/615401","title":"Distinct changes in morphometric networks in aging versus Alzheimer’s disease dementia","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Douglas Mental Health University Institute","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Pfizer; Novartis Pharmaceuticals Corporation; F. Hoffmann-La Roche; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Dementia; Atrophy; Neuroscience; Alzheimer's disease; Disease; Brain aging; Psychology; Brain size; Cognition; Healthy aging; Cognitive decline; Cognitive aging; Frontal lobe; Cognitive impairment; Cohort; Aging brain; Gerontology; Biology; Medicine; Pathology; Magnetic resonance imaging","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":[0.0005700584,0.0002330576,0.0002048265,0.001029009,0.0002105094,0.0003692287,0.0001827172,0.0001796686,0.0007966991],"category_scores_gemma":[0.001788252,0.0001051576,0.000205003,0.0006661078,0.0002998704,0.0003549329,0.0003865715,0.0002353752,0.0001121833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002945558,"about_ca_system_score_gemma":0.0001854675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002932491,"about_ca_topic_score_gemma":0.006132629,"domain_scores_codex":[0.9998684,0.00003553385,0.000008510145,0.00004890147,0.0000192745,0.00001933097],"domain_scores_gemma":[0.9994311,0.0001529026,0.0001970091,0.00009573888,0.00006242873,0.0000607982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001145527,0.0001193717,0.854558,0.0002390987,0.0009156974,0.0004236244,0.0008547677,0.0107566,0.06459232,0.003645626,0.004066482,0.05868288],"study_design_scores_gemma":[0.000007301628,0.00004395109,0.9843035,0.00001635898,0.00006905034,0.0003336594,0.0001188715,0.008874327,0.00233171,0.002979901,0.0009097997,0.00001161171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945399,0.0002546774,0.003045566,0.00006963935,0.000005669687,0.000005488744,0.001489108,0.00004320341,0.0005467921],"genre_scores_gemma":[0.9966148,0.00009493986,0.001663846,0.00001607126,0.000007159377,0.00001203947,0.001376686,0.00001214392,0.0002024561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002932491,"threshold_uncertainty_score":0.005830824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04597101330511605,"score_gpt":0.2528922373757309,"score_spread":0.2069212240706148,"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."}}