{"id":"W2408906521","doi":"10.1371/journal.pone.0142756","title":"Heterogeneity of Regional Brain Atrophy Patterns Associated with Distinct Progression Rates in Alzheimer’s Disease","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Eisai; National Institutes of Health; Ministry of Science, ICT and Future Planning; University of California, San Diego; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Northern California Institute for Research and Education; F. Hoffmann-La Roche; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Atrophy; Neuropathology; Pathology; Alzheimer's Disease Neuroimaging Initiative; Biomarker; Neuroimaging; Voxel-based morphometry; Medicine; Alzheimer's disease; Disease; Neuroscience; White matter; Magnetic resonance imaging; Psychology; Biology","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":[0.000551416,0.0003045236,0.000385279,0.001340004,0.0002111855,0.0003485092,0.0002313348,0.000258239,0.0003828673],"category_scores_gemma":[0.001236897,0.0001654834,0.0002513907,0.0004381053,0.0002225241,0.0003113482,0.0002305247,0.0001973116,0.0001353462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001463921,"about_ca_system_score_gemma":0.0001353165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002285354,"about_ca_topic_score_gemma":0.002830145,"domain_scores_codex":[0.9998047,0.00004502154,0.00002673278,0.00006716455,0.00003495264,0.00002156802],"domain_scores_gemma":[0.9994808,0.00007757269,0.0002612158,0.0000558991,0.00008194091,0.0000426622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004679496,0.00003949706,0.9796084,0.00003088126,0.00009918694,0.0002864515,0.0003460363,0.0001125405,0.01086578,0.00004278506,0.0000847275,0.008015764],"study_design_scores_gemma":[0.000003970524,0.0000597785,0.9988244,0.000002779965,0.00001606007,0.0005611409,0.00005532068,0.00009813846,0.0002781175,0.00004509574,0.00005249188,0.00000256042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993649,0.000311061,0.0000998454,0.000006574122,0.000001025767,0.000005294854,0.00006273697,0.00000411533,0.0001443967],"genre_scores_gemma":[0.9994138,0.0001037087,0.0001875801,0.000006106284,0.000004668951,0.000004438897,0.0001929231,0.000002177827,0.00008457051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002285354,"threshold_uncertainty_score":0.004544139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196924714660003,"score_gpt":0.3471621117457406,"score_spread":0.2274696402797403,"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."}}