{"id":"W4380874094","doi":"10.1101/2023.06.15.23291418","title":"Personalising Alzheimer’s Disease progression using brain atrophy markers","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Research, Development and Innovation Office; Engineering and Physical Sciences Research Council; Genentech; National Institutes of Health; British Heart Foundation; IXICO; H. Lundbeck A/S; Eisai; Weston Brain Institute; ZonMw; F. Hoffmann-La Roche; Agence Nationale de la Recherche; University College London; National Institute on Aging; National Institute for Health and Care Research; U.S. Department of Defense; Eli Lilly and Company; Brain Research UK; EU Joint Programme – Neurodegenerative Disease Research; Ministero della Salute; BioClinica; Biogen; Pfizer; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Medical Research Council; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Atrophy; Normative; Hippocampus; Brain size; Disease; Outlier; Magnetic resonance imaging; Alzheimer's Disease Neuroimaging Initiative; Psychology; Cognitive impairment; Cognition; Neuroscience; Medicine; Pathology; Radiology; Artificial intelligence; Computer science; Political science","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":[0.001653104,0.0006763858,0.000495327,0.001315086,0.0001520632,0.001154277,0.0003732705,0.0004339162,0.0007627964],"category_scores_gemma":[0.005285213,0.0002380469,0.0004341785,0.0008573956,0.0002660303,0.0006253739,0.0004567239,0.0003665567,0.000364883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003873133,"about_ca_system_score_gemma":0.000415408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004507734,"about_ca_topic_score_gemma":0.006242344,"domain_scores_codex":[0.9995841,0.0001355709,0.00002524383,0.0001527279,0.00008121244,0.00002104999],"domain_scores_gemma":[0.9985702,0.0005760301,0.0004176961,0.0001770956,0.0002068223,0.00005222847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007802842,0.0001766529,0.5962242,0.0004823098,0.0007707914,0.0002859603,0.0007529641,0.1080786,0.01705543,0.001906925,0.003722148,0.2697638],"study_design_scores_gemma":[0.00006025565,0.0005281455,0.525442,0.000207427,0.0004479731,0.001780222,0.0003706401,0.4221044,0.01952324,0.01882785,0.01056201,0.0001458693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8031857,0.002813348,0.1830109,0.0004577463,0.00004983108,0.0001126517,0.004892453,0.002303661,0.003173767],"genre_scores_gemma":[0.9469197,0.0007770365,0.04917091,0.00004684387,0.00002558542,0.00007410755,0.002288051,0.00009022636,0.0006074783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004507734,"threshold_uncertainty_score":0.008962989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09749923391002596,"score_gpt":0.4031940816257485,"score_spread":0.3056948477157226,"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."}}