{"id":"W4416198602","doi":"10.1002/alz.71496","title":"Neuro-Vascular-Metabolic Dysregulation, Metabolic Connectomics, and Metabolic Functional Changes in Alzheimer’s Disease: A Preclinical and Clinical Comparison","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":0,"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; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Disease; Phenotype; Neuroimaging; Clinical phenotype; Metabolic activity; Amyloid (mycology); Energy metabolism","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":[0.001807715,0.0006735399,0.0007824912,0.001660154,0.0002710884,0.00103659,0.0002964844,0.0004300731,0.001009832],"category_scores_gemma":[0.001006228,0.000221988,0.0004121472,0.0006648485,0.0005911162,0.0007450886,0.0006200641,0.0005905708,0.0002012774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261745,"about_ca_system_score_gemma":0.0003409453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005758549,"about_ca_topic_score_gemma":0.001357104,"domain_scores_codex":[0.9997016,0.00006462594,0.0000259273,0.0001137155,0.00006261492,0.00003153329],"domain_scores_gemma":[0.9995793,0.00007732418,0.0001405668,0.00006411133,0.0000830518,0.00005559713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01451431,0.001267119,0.3323821,0.001966282,0.002894328,0.001730437,0.0011248,0.002585578,0.3877584,0.004063552,0.002441854,0.2472712],"study_design_scores_gemma":[0.0001409882,0.003978256,0.9356614,0.0002596183,0.001394933,0.004261237,0.0007425342,0.004526768,0.03237163,0.007569268,0.009007632,0.00008577811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659114,0.01929803,0.009883515,0.0003579324,0.00008787143,0.00008918406,0.001106064,0.00009196261,0.003174108],"genre_scores_gemma":[0.9860569,0.006155052,0.005586011,0.0002001839,0.00007887528,0.0001297065,0.0009613935,0.00003841545,0.0007934769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001807715,"threshold_uncertainty_score":0.009560227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08234785471047014,"score_gpt":0.3439355827448864,"score_spread":0.2615877280344163,"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."}}