{"id":"W3081495557","doi":"10.1093/brain/awaa222","title":"Hippocampus co-atrophy pattern in dementia deviates from covariance patterns across the lifespan","year":2020,"lang":"en","type":"article","venue":"Brain","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Horizon 2020 Framework Programme; National Institutes of Health; H. Lundbeck A/S; Servier; Deutsche Forschungsgemeinschaft; Fujirebio US; Northern California Institute for Research and Education; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; University of Southern California; Takeda Pharmaceutical Company; Bristol-Myers Squibb; Eli Lilly and Company; Biogen; National Institute on Aging; Alzheimer's Association; Helmholtz-Gemeinschaft","keywords":"Hippocampus; Dementia; Neuroscience; Psychology; Atrophy; Cognition; Voxel-based morphometry; Disease; Medicine; Pathology; White matter; Magnetic resonance imaging","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":[0.0001218064,0.0001682604,0.0002351582,0.00002147374,0.00009788387,0.00005504406,0.0001816935,0.00005679215,0.0005554516],"category_scores_gemma":[0.000119966,0.0001163469,0.00009301231,0.0001572855,0.00007248912,0.00006968532,0.00008922836,0.000219027,0.0006273473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003783411,"about_ca_system_score_gemma":0.0001032415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008499342,"about_ca_topic_score_gemma":0.0002442737,"domain_scores_codex":[0.9985336,0.0001389666,0.000214562,0.0003398896,0.0003374059,0.000435549],"domain_scores_gemma":[0.9990982,0.0001943539,0.00005540397,0.0002902511,0.00003097711,0.0003307987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002459456,0.0002057211,0.9699906,0.00003961761,0.002256132,0.00070562,0.001057485,0.000003307574,0.0002248414,0.000005951828,0.003521512,0.02174331],"study_design_scores_gemma":[0.003956868,0.0002472661,0.9913514,0.0001022873,0.0001664711,0.000005559947,0.0004215434,0.0004611549,0.0007400805,0.0002111538,0.002184371,0.0001518743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754246,0.00366114,0.0005063003,0.01921558,0.00004556774,0.0005500824,0.0004546291,0.00004916268,0.0000929044],"genre_scores_gemma":[0.9908627,0.00007820421,0.00006424668,0.008337328,0.0002482605,0.00006818758,0.0003011609,0.00002751439,0.00001245078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02159143,"threshold_uncertainty_score":0.806349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336980519172294,"score_gpt":0.3269834946135808,"score_spread":0.2936136894218579,"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."}}