{"id":"W4400582889","doi":"10.3233/jad-231252","title":"Exploring the Genetic Heterogeneity of Alzheimer’s Disease: Evidence for Genetic Subtypes","year":2024,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Disease; Genetic heterogeneity; Alzheimer's disease; Biology; Alzheimer's Disease Neuroimaging Initiative; Genetic variation; Genetics; Phenotype; Medicine; Gene; 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":[0.003556078,0.0004622487,0.0005304532,0.002082735,0.0007372202,0.001190222,0.0006833981,0.0005338737,0.001657241],"category_scores_gemma":[0.008854399,0.0002744298,0.001331146,0.002179032,0.001219908,0.0004815962,0.001248966,0.0007972038,0.0001459131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004055382,"about_ca_system_score_gemma":0.0006145759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007159276,"about_ca_topic_score_gemma":0.007036876,"domain_scores_codex":[0.9975326,0.0008641346,0.0002179356,0.0008223672,0.0003640633,0.0001987982],"domain_scores_gemma":[0.9921542,0.003791156,0.001821925,0.00114432,0.0005410186,0.0005474854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003570343,0.00002625673,0.9842151,0.00004099775,0.0009267078,0.0001544721,0.000456199,0.0004702982,0.002605725,0.0004325694,0.00030006,0.01001474],"study_design_scores_gemma":[0.00001661471,0.00005793604,0.9950042,0.00002437753,0.0002865673,0.0003328918,0.000265984,0.001786298,0.0003095855,0.001607355,0.0002969284,0.00001134883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952035,0.0006205644,0.002922712,0.00024968,0.000009027474,0.00002198616,0.0003347046,0.00001844551,0.0006194295],"genre_scores_gemma":[0.9982069,0.000152646,0.00121084,0.00003648926,0.00001079725,0.000009463796,0.0003051021,0.00001045409,0.00005735795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007159276,"threshold_uncertainty_score":0.01880652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.208327205354395,"score_gpt":0.3901400488294951,"score_spread":0.1818128434751001,"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."}}