{"id":"W4281708551","doi":"10.1101/2022.06.06.494859","title":"Amygdalar and ERC Rostral Atrophy and Tau Pathology Reconstruction in Preclinical Alzheimer’s Disease","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; National Institutes of Health; Karen Toffler Charitable Trust; Northern California Institute for Research and Education; Novartis Pharmaceuticals Corporation; BioClinica; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Entorhinal cortex; Atrophy; Temporal lobe; Amygdala; Neuroscience; Alzheimer's disease; Pathology; Neuroimaging; Dementia; Hippocampus; Psychology; Tau pathology; Medicine; Disease","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":[0.0004773701,0.0002724906,0.0003060639,0.001298668,0.000135312,0.0004661955,0.0002507754,0.0002407484,0.001121609],"category_scores_gemma":[0.0008964844,0.0001333976,0.0003409076,0.0005050167,0.0002116899,0.0002001487,0.0005725417,0.0001874763,0.0003670664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346518,"about_ca_system_score_gemma":0.0001632547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003135162,"about_ca_topic_score_gemma":0.005587511,"domain_scores_codex":[0.9998487,0.00003535282,0.000009665947,0.00005888966,0.0000266616,0.00002061096],"domain_scores_gemma":[0.9997787,0.00004073661,0.00007073958,0.00006303359,0.00002946705,0.00001728315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001749475,0.0002003499,0.5833396,0.0003967944,0.000771489,0.0008577761,0.0009667221,0.02637112,0.2122485,0.001196027,0.004560803,0.1673413],"study_design_scores_gemma":[0.0000248115,0.00014411,0.9088541,0.00004616939,0.00009975451,0.001595578,0.000313968,0.06821752,0.01614172,0.00167535,0.002849312,0.00003749066],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871593,0.0003294094,0.009114427,0.00004972906,0.000007478467,0.00001549494,0.002350181,0.0002670036,0.0007070682],"genre_scores_gemma":[0.9886163,0.0001082693,0.008154004,0.00001639111,0.000006197133,0.00001779252,0.002704376,0.00003907173,0.000337479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003135162,"threshold_uncertainty_score":0.006233871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051032077857821,"score_gpt":0.3015639876768617,"score_spread":0.2710536668982835,"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."}}