{"id":"W4372349312","doi":"10.1101/2023.05.02.23289347","title":"Exploring the genetic heterogeneity of Alzheimer’s disease: Evidence for genetic subtypes","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; BioClinica; F. Hoffmann-La Roche; University of Southern California; Biogen; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Genetic heterogeneity; Alzheimer's disease; Disease; Genetics; Biology; Evolutionary biology; Medicine; Gene; Phenotype; Internal medicine","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":[0.00461521,0.0004554281,0.0005300691,0.002022637,0.0007696504,0.001242109,0.000769474,0.0005960421,0.001842662],"category_scores_gemma":[0.01193438,0.000294067,0.001385577,0.002193173,0.001257198,0.0005447411,0.001293571,0.0008278389,0.0001440292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003829023,"about_ca_system_score_gemma":0.0005615052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006529184,"about_ca_topic_score_gemma":0.006056448,"domain_scores_codex":[0.9965975,0.001340899,0.0003003113,0.001046548,0.0004759422,0.0002388124],"domain_scores_gemma":[0.9881742,0.006183673,0.002493675,0.001729722,0.0007165081,0.0007021826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003592311,0.00002375757,0.9866758,0.00003472659,0.0009593748,0.0001272107,0.0003623033,0.0003519028,0.001618573,0.0003891836,0.0002352166,0.008862707],"study_design_scores_gemma":[0.00002068702,0.00007341785,0.994686,0.00002831466,0.0003751747,0.0003408442,0.0002701795,0.001796854,0.0002806275,0.001782432,0.0003336294,0.00001177485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952887,0.0007551842,0.00259909,0.0002847493,0.00001099768,0.00002019798,0.0003126111,0.00001491317,0.0007134733],"genre_scores_gemma":[0.9984432,0.0001566725,0.001015313,0.00003995538,0.0000127971,0.000008250174,0.0002544685,0.000009844302,0.00005952578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006529184,"threshold_uncertainty_score":0.0244078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3609608494916334,"score_gpt":0.4054289215732084,"score_spread":0.04446807208157494,"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."}}