{"id":"W4410374530","doi":"10.1101/2025.05.12.653558","title":"Neuro-Metabolic and Vascular Dysfunction as an Early Diagnostic for Alzheimer’s Disease and Related Dementias","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":2,"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; Alzheimer's Association","keywords":"Disease; Medicine; Alzheimer's disease; Dementia; Neuroscience; Cardiology; Internal medicine; Psychology","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":[0.0009036771,0.0003897737,0.0003642557,0.0009895227,0.0002016705,0.0008437596,0.0001666356,0.000337452,0.002357742],"category_scores_gemma":[0.001640585,0.0001414288,0.0002340135,0.0008181211,0.0002938299,0.000275854,0.0003195422,0.0004346444,0.0006907313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302824,"about_ca_system_score_gemma":0.000390658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115043,"about_ca_topic_score_gemma":0.002152355,"domain_scores_codex":[0.9997486,0.00008260571,0.00001649913,0.0000588296,0.00006211731,0.00003132209],"domain_scores_gemma":[0.9996765,0.00007536157,0.00008385954,0.00004163854,0.00006849883,0.00005407289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003636359,0.0004173259,0.6519569,0.0009181766,0.0004370945,0.002240867,0.001273855,0.001063669,0.06830151,0.005245118,0.02099568,0.2435135],"study_design_scores_gemma":[0.00006428792,0.0002950694,0.9499148,0.0001796124,0.0001795522,0.003571533,0.0004371399,0.002187236,0.01188549,0.008800485,0.02244978,0.00003509385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941712,0.0239819,0.009079677,0.002794459,0.0004711182,0.00008403016,0.006239037,0.0003188478,0.01531903],"genre_scores_gemma":[0.9751614,0.006818869,0.008647615,0.000432855,0.0003211546,0.00006304141,0.002804423,0.00004988984,0.00570055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002357742,"threshold_uncertainty_score":0.007887483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798969691308398,"score_gpt":0.2663844410035263,"score_spread":0.2483947440904423,"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."}}