{"id":"W4307170174","doi":"10.1038/s41598-022-21491-y","title":"On the limits of graph neural networks for the early diagnosis of Alzheimer’s disease","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; European Regional Development Fund; Instituto de Salud Carlos III; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Universidad Complutense de Madrid; Ministerio de Ciencia e Innovación; Northern California Institute for Research and Education; Eli Lilly and Company; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; F. Hoffmann-La Roche; University of Southern California; Banco Santander; Pfizer; Biogen; BioClinica; Translational Genomics Research Institute; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Foundation for the National Institutes of Health","keywords":"Missense mutation; Disease; Machine learning; Computer science; Phenotype; Alzheimer's disease; Apolipoprotein E; Graph; Artificial intelligence; Computational biology; Gene; Bioinformatics; Medicine; Biology; Genetics; Theoretical computer science; Pathology","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":[0.005768046,0.001039505,0.0008494378,0.001334197,0.0004017766,0.001302183,0.0009923881,0.00103875,0.001181326],"category_scores_gemma":[0.02202221,0.0004938102,0.0006251667,0.0006355558,0.001045444,0.002796559,0.001060775,0.002274116,0.0003334443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224117,"about_ca_system_score_gemma":0.0008619842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009609081,"about_ca_topic_score_gemma":0.008567411,"domain_scores_codex":[0.998743,0.0007811658,0.00004927002,0.0002038504,0.0001521295,0.00007061294],"domain_scores_gemma":[0.9861013,0.01186992,0.0004739315,0.0006369504,0.0006760706,0.0002418132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003867062,0.000125331,0.007446457,0.0001261302,0.0002174111,0.0001219135,0.0001000046,0.8817087,0.0009933724,0.02450196,0.002874742,0.0813973],"study_design_scores_gemma":[0.000008222699,0.00002703676,0.0006617469,0.00002677036,0.0000152345,0.0000144131,0.00001106739,0.9718224,0.0001880729,0.02687605,0.0003423512,0.000006548615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3740589,0.02129298,0.5668049,0.02265943,0.0006585654,0.0001075248,0.001029867,0.00167285,0.01171492],"genre_scores_gemma":[0.9340788,0.003330903,0.05881732,0.0007038229,0.0003184254,0.00006070999,0.0005709388,0.00009492914,0.002024293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009609081,"threshold_uncertainty_score":0.0305047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055760179084803,"score_gpt":0.2441336822939348,"score_spread":0.2235760805030867,"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."}}