{"id":"W4394782575","doi":"10.1101/2024.02.20.24303090","title":"Potentially Modifiable Dementia Risk Factors in Canada: An Analysis of Canadian Longitudinal Study on Aging with a Multi-Country Comparison","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver Coastal Health; Montreal Heart Institute; Baycrest Hospital; Université de Montréal; Robarts Clinical Trials; Parkwood Institute; University of Toronto; Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research; Government of Canada; Consortium canadien en neurodégénérescence associée au vieillissement","keywords":"Dementia; Medicine; Gerontology; Obesity; Risk factor; Depression (economics); Longitudinal study; Population; Demography; Environmental health; Internal medicine; Disease","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":[0.003363667,0.0009347146,0.00147444,0.003537481,0.003405439,0.001568978,0.002099539,0.0008541201,0.001549438],"category_scores_gemma":[0.005264132,0.0006267205,0.002603607,0.009625521,0.0006670821,0.0004896477,0.001777866,0.001254195,0.0001538855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02462785,"about_ca_system_score_gemma":0.02780533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924534,"about_ca_topic_score_gemma":0.9911547,"domain_scores_codex":[0.9971145,0.0004116705,0.0002560632,0.0005849545,0.0009873071,0.000645472],"domain_scores_gemma":[0.995483,0.0003447365,0.0008160557,0.0002723151,0.002221971,0.000861789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003701325,0.00003994089,0.9948085,0.00008269563,0.0009958979,0.00007613659,0.000163183,0.0002325664,0.00006132596,0.000114831,0.00098873,0.002066185],"study_design_scores_gemma":[0.00004273636,0.00003387977,0.9977792,0.00004295746,0.0002674303,0.00004326842,0.000347491,0.0007876038,0.00002667462,0.00003680446,0.0005747108,0.00001733109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792702,0.002939056,0.0004951186,0.0003193063,0.00005518042,0.0001851141,0.01528174,0.00002442781,0.001429759],"genre_scores_gemma":[0.9889756,0.0009987374,0.0005098805,0.0001275208,0.00001314324,0.0001011861,0.008797963,0.00001243626,0.0004635233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02462785,"threshold_uncertainty_score":0.1786884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06491140103239908,"score_gpt":0.342798744448722,"score_spread":0.2778873434163229,"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."}}