{"id":"W4214932656","doi":"10.1101/2022.02.28.482280","title":"Stage dependent differential influence of metabolic and structural networks on memory across Alzheimer’s disease continuum","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; McGill University; Douglas Mental Health University Institute; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; BioClinica; Alzheimer's Disease Neuroimaging Initiative; National Institute on Aging; Bristol-Myers Squibb; Eli Lilly and Company; Biogen; Eisai; Alzheimer's Association; U.S. Department of Defense","keywords":"Neuroscience; Cognition; Hippocampal formation; Psychology; Hippocampus; Default mode network; Dementia; Neuroimaging; Disease; Medicine; Pathology","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":[0.0008306618,0.0003195007,0.0002628707,0.0003676055,0.0001772269,0.0004414738,0.0003328498,0.0002397532,0.001195165],"category_scores_gemma":[0.003894997,0.0001699396,0.0004647122,0.0002454518,0.0003392036,0.0005105248,0.0004679809,0.0003881825,0.00007544148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003101856,"about_ca_system_score_gemma":0.0002766006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006698484,"about_ca_topic_score_gemma":0.01101196,"domain_scores_codex":[0.999808,0.00007702594,0.000009666576,0.00006362673,0.00001703808,0.00002463503],"domain_scores_gemma":[0.9988797,0.0004636701,0.0002747352,0.0001845411,0.0001172918,0.00008000972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00212522,0.0001775679,0.8947394,0.0001308628,0.001003805,0.0003584879,0.0013159,0.02538896,0.02875803,0.002325517,0.0006447074,0.04303159],"study_design_scores_gemma":[0.0000211564,0.0002909387,0.9486003,0.00002089202,0.0001906078,0.0002608806,0.0002190252,0.04207354,0.002045972,0.00593393,0.0003230823,0.00001970662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961789,0.00008518282,0.003270106,0.00004781436,0.000002188282,0.000007153543,0.0001915469,0.00001373925,0.0002034335],"genre_scores_gemma":[0.9989526,0.00002987623,0.0007846979,0.000006342801,0.000001734877,0.000005521126,0.0001256655,0.000002347349,0.00009108812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006698484,"threshold_uncertainty_score":0.01331902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957380974945081,"score_gpt":0.2872257971844125,"score_spread":0.2676519874349617,"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."}}