{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007795462,0.00007145033,0.0001181032,0.000128995,0.00005809945,0.0000169322,0.00005688544,0.00008343159,0.00001792883],"category_scores_gemma":[0.0006171963,0.00007175235,0.00006015842,0.0004468781,0.0001664385,0.000004467094,0.00008047282,0.00005437191,0.000004968688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005755324,"about_ca_system_score_gemma":0.00008930969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009124227,"about_ca_topic_score_gemma":0.0001630186,"domain_scores_codex":[0.9987479,0.0000528666,0.0003723983,0.0004634383,0.0001903775,0.0001730581],"domain_scores_gemma":[0.9994079,0.00003983815,0.0001480538,0.000237331,0.0001280553,0.00003883603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004316546,0.00005255346,0.1915718,0.00001210088,0.000008904178,0.0001190047,0.00008551894,0.0005577761,0.8060383,0.00000202482,0.001090007,0.0004188354],"study_design_scores_gemma":[0.0005083403,0.00008613872,0.06655921,0.00006819063,0.000008824683,0.0001083518,0.0001419508,0.001742872,0.9292775,0.0008969858,0.0004806848,0.0001209114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977397,0.0000428789,0.0001460392,0.0001317128,0.001562343,0.0001510791,0.000007365385,0.00001491573,0.0002039357],"genre_scores_gemma":[0.9982734,0.000003466156,0.0001066185,0.00006877849,0.0000546716,0.00001055333,0.000574184,0.000009396251,0.0008989032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1250126,"threshold_uncertainty_score":0.2925976,"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."}}