{"id":"W4387365126","doi":"10.1038/s41598-023-43063-4","title":"Predicting cognitive decline in a low-dimensional representation of brain morphology","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre de Recherche Industrielle du Québec","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Mental Health; National Center for Complementary and Integrative Health; National Institute on Aging; Canadian Institutes of Health Research; Genentech; National Institutes of Health; National Institute of Neurological Disorders and Stroke; IXICO; Université Laval; H. Lundbeck A/S; Alliance de recherche numérique du Canada; Bristol-Myers Squibb; Canada First Research Excellence Fund; Southwest University; Eisai; Servier; Natural Sciences and Engineering Research Council of Canada; Pfizer; Biogen; BioClinica; Child Mind Institute; Northern California Institute for Research and Education; National Center for Research Resources; F. Hoffmann-La Roche; Leon Levy Foundation; Biotechnology and Biological Sciences Research Council; University of Southern California; Yale University; Stavros Niarchos Foundation; U.S. Department of Defense; Eli Lilly and Company; Novartis Pharmaceuticals Corporation; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Morphology (biology); Representation (politics); Cognition; Brain morphometry; Computer science; Neuroscience; Medicine; Biology; Zoology; Magnetic resonance imaging; Radiology; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001692455,0.0006409905,0.00046366,0.001181087,0.0002285433,0.0009724976,0.0003537481,0.0005910886,0.0006356539],"category_scores_gemma":[0.004439199,0.0001633041,0.0006950285,0.0005351959,0.0002844819,0.000662537,0.0006507737,0.0006270348,0.0004121346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005123192,"about_ca_system_score_gemma":0.0004274694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00580363,"about_ca_topic_score_gemma":0.00483197,"domain_scores_codex":[0.9995897,0.0001345138,0.00002766054,0.0001384269,0.00006607526,0.00004351253],"domain_scores_gemma":[0.9987954,0.0005915324,0.0001649338,0.0001426348,0.0002304337,0.00007506486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001136635,0.0006457813,0.3820517,0.0001459865,0.0006199589,0.0002603022,0.0005126699,0.2212331,0.01921305,0.000829495,0.003460438,0.3698909],"study_design_scores_gemma":[0.00001252251,0.0002103262,0.09968476,0.00001927039,0.00003514237,0.0001387984,0.0001141581,0.8965536,0.001969413,0.0008887933,0.0003500112,0.00002319634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509972,0.0002948768,0.04718017,0.0001264948,0.0000215562,0.00004843682,0.0003860283,0.0005395673,0.0004055361],"genre_scores_gemma":[0.9797475,0.0001334103,0.01847068,0.00002118646,0.00001201038,0.00003246594,0.001158976,0.0000187935,0.0004049218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00580363,"threshold_uncertainty_score":0.0115397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971414818736866,"score_gpt":0.2830802344353169,"score_spread":0.2633660862479483,"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."}}