{"id":"W4414612007","doi":"10.1002/alz.70653","title":"The PREVENT‐AD cohort: Accelerating Alzheimer's disease research and treatment in Canada and beyond","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; McGill University; Hôpital du Sacré-Cœur de Montréal; McGill University Health Centre; Montreal Heart Institute; Université de Sherbrooke; Université Laval; Université de Montréal; Concordia University; Douglas Mental Health University Institute; Toronto Metropolitan University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; Fonds de Recherche du Québec - Santé; Canada First Research Excellence Fund; Vetenskapsrådet; Canada Foundation for Innovation; Fondation Brain Canada; Fondation Jean-Louis Lévesque; Canadian Institutes of Health Research; Alzheimer Society; Alzheimer's Association","keywords":"Disease; Neuroimaging; Longitudinal study; Cognition; Magnetic resonance imaging; Alzheimer's Disease Neuroimaging Initiative; Cognitive decline; Longitudinal data","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004846226,0.0008174852,0.001149889,0.002640957,0.00624065,0.003033712,0.002260231,0.001215676,0.005069913],"category_scores_gemma":[0.008729083,0.0005639147,0.001484139,0.004806891,0.001091406,0.001569186,0.003864876,0.002253654,0.001792947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07389355,"about_ca_system_score_gemma":0.2416992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947119,"about_ca_topic_score_gemma":0.996299,"domain_scores_codex":[0.9960698,0.0003685987,0.000221458,0.0004821713,0.001762761,0.001095309],"domain_scores_gemma":[0.9824096,0.0004603246,0.0008485282,0.000638919,0.0100063,0.005636313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001864324,0.0005246563,0.466877,0.001083888,0.0005041544,0.0004104297,0.00162465,0.0006527491,0.001529306,0.004332887,0.3523422,0.1682538],"study_design_scores_gemma":[0.0007863599,0.0003321786,0.8682694,0.001100836,0.0004511807,0.0002156696,0.001893779,0.001472847,0.0006437638,0.00142433,0.1232487,0.0001609394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4597334,0.02095694,0.006738096,0.08549194,0.003168258,0.005566648,0.3544309,0.002025582,0.06188827],"genre_scores_gemma":[0.7303513,0.01854386,0.03541895,0.03426081,0.0009412202,0.004129146,0.1291163,0.0005173784,0.04672102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07389355,"threshold_uncertainty_score":0.5361377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04243924261253758,"score_gpt":0.343631961021344,"score_spread":0.3011927184088065,"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."}}