{"id":"W3013766845","doi":"10.1038/s41598-020-62263-w","title":"Multimodal Phenotyping of Alzheimer’s Disease with Longitudinal Magnetic Resonance Imaging and Cognitive Function Data","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Cancer Prevention and Research Institute of Texas; Genentech; IXICO; National Institute of General Medical Sciences; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; National Center for Advancing Translational Sciences; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Magnetic resonance imaging; Functional magnetic resonance imaging; Cognition; Alzheimer's disease; Disease; Function (biology); Neuroscience; Nuclear magnetic resonance; Medicine; Psychology; Biology; Pathology; Physics; Radiology; Evolutionary 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":[0.005133926,0.0004085672,0.0004374278,0.00124689,0.0003035328,0.0005421581,0.0004816936,0.0003676518,0.0004263773],"category_scores_gemma":[0.009812045,0.0002159391,0.0006108223,0.0008674944,0.0003786948,0.0003982085,0.0008092329,0.0004047859,0.00009245119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004210319,"about_ca_system_score_gemma":0.0006228039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00362507,"about_ca_topic_score_gemma":0.006746606,"domain_scores_codex":[0.9983949,0.0009565765,0.000103195,0.0003329433,0.0001488034,0.000063647],"domain_scores_gemma":[0.9963931,0.00178375,0.0006824088,0.0007236836,0.0003017263,0.0001152894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006663654,0.0002663811,0.8129661,0.00008865074,0.0005702118,0.0005466739,0.0005143094,0.09257989,0.01454861,0.001803302,0.001106139,0.07434326],"study_design_scores_gemma":[0.00003988446,0.0002904645,0.4472756,0.00002613049,0.0001676494,0.0006978163,0.0002392277,0.537472,0.003279086,0.009285703,0.001176054,0.00005039777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141625,0.0001332409,0.08373097,0.0002186563,0.00001023867,0.00007683437,0.001233578,0.0001007591,0.0003332864],"genre_scores_gemma":[0.9562238,0.00004870489,0.04197161,0.00004076095,0.00001300359,0.00009079351,0.001506833,0.00001078666,0.00009375443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005133926,"threshold_uncertainty_score":0.02715111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04446125645248104,"score_gpt":0.3109160828148939,"score_spread":0.2664548263624128,"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."}}