{"id":"W4413050066","doi":"10.1002/alz.70442","title":"Enhancing the validity of CAIDE dementia risk scores with resting heart rate and machine learning: An analysis from the National Alzheimer's Coordinating Center across all races/ethnicities","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Heart rate and cardiovascular health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health; Brock University","keywords":"Dementia; Receiver operating characteristic; Predictive validity; Population; Ethnic group; Gerontology; Random forest; Medicine; Psychology; Machine learning; Clinical psychology; Computer science; Internal medicine; Disease; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01698172,0.0006496134,0.0009102161,0.001335108,0.0007661037,0.001047862,0.001031458,0.0005361486,0.0006982411],"category_scores_gemma":[0.0296549,0.0002353428,0.001669477,0.001535586,0.0003228696,0.000537554,0.001099217,0.0008079246,0.0002975846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008712756,"about_ca_system_score_gemma":0.001579247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03433644,"about_ca_topic_score_gemma":0.03932234,"domain_scores_codex":[0.9955254,0.001934884,0.0004235473,0.0008563153,0.001060655,0.0001992069],"domain_scores_gemma":[0.9759867,0.009186926,0.002753359,0.004216125,0.006971543,0.0008853742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007972821,0.0002037566,0.9757878,0.00006751655,0.001017044,0.00006776962,0.0001838154,0.004179006,0.0002481937,0.00012347,0.002504784,0.01481956],"study_design_scores_gemma":[0.0001319382,0.0003681706,0.9733296,0.00006486419,0.0005416508,0.0001366278,0.0002093716,0.02270819,0.0005964231,0.0001724535,0.001703437,0.00003724787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864727,0.0004537691,0.004626792,0.0002714561,0.00003965894,0.0001997056,0.006566028,0.00008820338,0.001281699],"genre_scores_gemma":[0.9859809,0.0001328833,0.003017708,0.0001109407,0.00003455807,0.000184314,0.0102908,0.00002718326,0.0002206798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03433644,"threshold_uncertainty_score":0.089809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242302332181985,"score_gpt":0.3343728703385196,"score_spread":0.2819498470166998,"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."}}