{"id":"W4309467340","doi":"10.1126/sciadv.abo6764","title":"Unified epigenomic, transcriptomic, proteomic, and metabolomic taxonomy of Alzheimer’s disease progression and heterogeneity","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute; Montreal Neurological Institute and Hospital","funders":"National Institute on Aging; Canadian Institutes of Health Research; Health Canada; University of California, San Diego; Genentech; National Institutes of Health; IXICO; Servier; Bristol-Myers Squibb; Canada First Research Excellence Fund; Eisai; Novo Nordisk; Northern California Institute for Research and Education; H. Lundbeck A/S; Rush University; McGill University; University of Southern California; Pfizer; BioClinica; Biogen; Fondation Brain Canada; Eli Lilly and Company; U.S. Department of Defense; National Center for Advancing Translational Sciences; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Ionis Pharmaceuticals; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Epigenomics; Metabolomics; Transcriptome; Dementia; Disease; Computational biology; Biology; Proteomics; Omics; DNA methylation; Bioinformatics; Neuroscience; Medicine; Pathology; Genetics; Gene; Gene expression","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":[0.0004008792,0.0001473654,0.0002711148,0.0001844301,0.0005159726,0.00002459587,0.0001501577,0.00001288795,0.00004615696],"category_scores_gemma":[0.00002803401,0.0001163537,0.00005456,0.0002870485,0.001179859,0.0004211312,0.0001713121,0.0001127684,0.000002049245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000048142,"about_ca_system_score_gemma":0.0005038643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001496493,"about_ca_topic_score_gemma":0.00000219461,"domain_scores_codex":[0.9983642,0.00006857928,0.0002079229,0.0004996397,0.0005042191,0.0003555135],"domain_scores_gemma":[0.9990341,0.00001926389,0.0001055182,0.0002543721,0.00006238271,0.0005243829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006688359,0.002011429,0.5006094,0.000422304,0.002081819,0.0002434216,0.0005451744,0.00007935545,0.2409613,0.0008014492,0.00004056864,0.2455155],"study_design_scores_gemma":[0.006312611,0.001810827,0.539109,0.0001118035,0.001458469,0.00009202478,0.0007657463,0.0005911884,0.4424979,0.001357138,0.005329088,0.0005642471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9187907,0.07917759,0.00001654618,0.0002794531,0.00005488137,0.001468574,0.00008566706,0.00002317209,0.0001033907],"genre_scores_gemma":[0.9968055,0.0005892398,0.00207844,0.00004443981,0.00001541089,0.0004361044,0.00001275354,0.00001015739,0.000007958513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2449512,"threshold_uncertainty_score":0.4744767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04344838880542878,"score_gpt":0.3371214831517113,"score_spread":0.2936730943462825,"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."}}