{"id":"W4390195075","doi":"10.1002/alz.076586","title":"Proteomic‐based Biological Aging Clock and MRI Markers of Cerebrovascular Disease: Atherosclerosis Risk in Community Study","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Subclinical infection; Medicine; Hyperintensity; Internal medicine; Cardiology; Logistic regression; Brain size; Biological age; Atherosclerosis Risk in Communities; Disease; Gerontology; Magnetic resonance imaging; Radiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001407578,0.0004035135,0.0003190369,0.0008450196,0.0005338643,0.0006369906,0.0004450128,0.0005265707,0.001246602],"category_scores_gemma":[0.002668944,0.0002445187,0.0003729746,0.00153933,0.000213443,0.0003959274,0.0006212294,0.0005169075,0.0001735422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001955622,"about_ca_system_score_gemma":0.0003733878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00598489,"about_ca_topic_score_gemma":0.006788749,"domain_scores_codex":[0.99934,0.0002578424,0.00005769764,0.0001829081,0.00009819867,0.0000634357],"domain_scores_gemma":[0.9982638,0.0002103712,0.0006901159,0.0001681117,0.0003316912,0.000335978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003506103,0.00007333004,0.997675,0.00002226846,0.0001980638,0.00003713561,0.00007647775,0.0000493358,0.0003461015,0.0000299871,0.0001119574,0.001029775],"study_design_scores_gemma":[0.00001753738,0.000111186,0.9990867,0.000006061138,0.00008335063,0.00007726604,0.00009624601,0.0002604535,0.00007681103,0.00004557292,0.0001348693,0.000003973259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998618,0.0002391179,0.0002539951,0.00003251804,0.000007706854,0.00002034302,0.0004897728,0.000004229347,0.0003343198],"genre_scores_gemma":[0.9991459,0.0000632496,0.0002242348,0.00001786001,0.0000127349,0.00001995081,0.0003776199,0.000001777475,0.0001367302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00598489,"threshold_uncertainty_score":0.01190013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04649304707195091,"score_gpt":0.3185252932892035,"score_spread":0.2720322462172526,"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."}}