{"id":"W4385779592","doi":"10.1016/j.nbas.2023.100092","title":"Longitudinal hippocampal atrophy in hippocampal sclerosis of aging","year":2023,"lang":"en","type":"article","venue":"Aging Brain","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":14,"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; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Atrophy; Hippocampal formation; Neuropathology; Hippocampal sclerosis; Dementia; Autopsy; Psychology; Hippocampus; Medicine; Neuroscience; Pathology; Amyotrophic lateral sclerosis; Disease; Temporal lobe; Epilepsy","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":[0.0009424642,0.0001470817,0.0002959408,0.0005896477,0.00006507545,0.0000270807,0.0001257502,0.00004931238,0.000280278],"category_scores_gemma":[0.000239196,0.0001413542,0.0001222331,0.001191353,0.0001236021,0.0001047495,0.0001369988,0.0002610491,0.000183227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007186415,"about_ca_system_score_gemma":0.0001071811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001843854,"about_ca_topic_score_gemma":0.00002451157,"domain_scores_codex":[0.9981582,0.0001058755,0.0003085206,0.0003328288,0.0005378547,0.0005567405],"domain_scores_gemma":[0.9992483,0.0002372959,0.0000578525,0.0002328986,0.00008787351,0.0001357479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000625682,0.0001204,0.9446149,0.0001806979,0.00005842092,0.0002327063,0.0005884235,0.000009197532,0.02358433,0.00009748285,0.002024641,0.02842626],"study_design_scores_gemma":[0.001972766,0.0002466329,0.986829,0.0005435551,0.00003007484,0.0000150333,0.0005794786,0.0003927081,0.00843301,0.0004785285,0.0003491613,0.0001300969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925718,0.0001253196,0.0001281205,0.004689867,0.00009549261,0.0002882045,0.000005877251,0.000102683,0.001992636],"genre_scores_gemma":[0.9981206,0.00004895988,0.0001943988,0.0003909708,0.000122767,0.00003059703,0.00003640976,0.00002693482,0.00102834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04221408,"threshold_uncertainty_score":0.5764259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04604493339691879,"score_gpt":0.3296699585888684,"score_spread":0.2836250251919497,"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."}}