{"id":"W4401199763","doi":"10.1007/s11357-024-01291-0","title":"Age-associated proteins explain the role of medial temporal lobe networks in Alzheimer’s disease","year":2024,"lang":"en","type":"article","venue":"GeroScience","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Genentech; National Institutes of Health; Northern California Institute for Research and Education; Alzheimer's Disease Neuroimaging Initiative; Bristol-Myers Squibb; Eli Lilly and Company; Biogen; Eisai; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Temporal lobe; Neurodegeneration; Neuroscience; Neuroimaging; Disease; Psychology; Alzheimer's disease; Proteomics; Biology; Pathology; Medicine; Epilepsy; Genetics","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":[0.0003686972,0.0004196399,0.0002245615,0.0004042363,0.0002326598,0.0006782315,0.0003387811,0.0004534087,0.001790101],"category_scores_gemma":[0.0005705294,0.0001316861,0.0003128066,0.0002616689,0.0004602543,0.001335509,0.0004309897,0.0003987624,0.0003131695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004264426,"about_ca_system_score_gemma":0.0002422839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002347354,"about_ca_topic_score_gemma":0.003285037,"domain_scores_codex":[0.9999541,0.000009099679,0.000002960384,0.00001266821,0.000008107374,0.00001299557],"domain_scores_gemma":[0.9998708,0.00002640051,0.00004184498,0.00001856389,0.00002149448,0.00002099742],"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":[0.002686509,0.0003572094,0.274264,0.00117939,0.001901094,0.006913959,0.002770971,0.02020457,0.3232437,0.1429067,0.01361958,0.2099523],"study_design_scores_gemma":[0.0001413518,0.0004155641,0.5608999,0.0002082539,0.0006278817,0.004779564,0.001808724,0.03531424,0.02384434,0.3432446,0.02864345,0.0000721687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468552,0.0200188,0.01167574,0.004975601,0.0002052086,0.00003214012,0.0008840051,0.0001322588,0.0152211],"genre_scores_gemma":[0.9905639,0.005135469,0.00194711,0.0002101851,0.0001339808,0.000009083039,0.0002042492,0.00001158262,0.001784426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002347354,"threshold_uncertainty_score":0.005988479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03231817246902367,"score_gpt":0.313164355889569,"score_spread":0.2808461834205453,"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."}}