{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006095623,0.0001826278,0.0001395503,0.000820265,0.000266915,0.0002239196,0.0001758227,0.0002237828,0.0007952603],"category_scores_gemma":[0.001347335,0.0001147564,0.0001452515,0.0003651687,0.000265973,0.0004523657,0.0003695151,0.0002060027,0.0001364471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870381,"about_ca_system_score_gemma":0.0003376096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005258772,"about_ca_topic_score_gemma":0.009173172,"domain_scores_codex":[0.9999082,0.00002225138,0.00001023878,0.00002368505,0.00002110608,0.00001445538],"domain_scores_gemma":[0.9993421,0.00006082196,0.0003289823,0.00004477636,0.0001193573,0.0001038802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006778486,0.0000633618,0.9814549,0.00004265374,0.00008271616,0.0003629558,0.0005119437,0.00008342432,0.007183291,0.00005625248,0.0001544851,0.009326141],"study_design_scores_gemma":[0.000002938517,0.0001727558,0.9987017,0.000006457637,0.00001166874,0.0004767024,0.00008971994,0.00004200399,0.0003174321,0.0000669773,0.0001096111,0.000001936099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987417,0.0006635925,0.00007558953,0.00001428269,0.000003091194,0.000005875827,0.0001072824,0.000005546228,0.000382992],"genre_scores_gemma":[0.9992846,0.0002109051,0.0001669681,0.00001289741,0.000005257335,0.000006730914,0.0001320426,8.282597e-7,0.0001799156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005258772,"threshold_uncertainty_score":0.01045632,"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."}}