{"id":"W4319348394","doi":"10.1016/j.ebiom.2023.104455","title":"Altered global signal topography in Alzheimer's disease","year":2023,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Fundamental Research Funds for the Central Universities; National Institutes of Health; Servier; H. Lundbeck A/S; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China; Eisai; Genentech; IXICO; Northern California Institute for Research and Education; F. Hoffmann-La Roche; University of Southern California; Pfizer; BioClinica; Biogen; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Alzheimer's Association","keywords":"Neuroscience; Functional magnetic resonance imaging; Disease; Alzheimer's disease; SIGNAL (programming language); Magnetic resonance imaging; Functional integration; Functional connectivity; Biology; Medicine; Computer science; Pathology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020473,0.0001302944,0.0001643165,0.0002635102,0.0000974307,0.00001191684,0.0001604785,0.00002543561,0.0001123212],"category_scores_gemma":[0.00147986,0.0001125405,0.00005776903,0.0023327,0.0002494095,0.00008916507,0.0001124609,0.00009153876,0.0002838314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003739381,"about_ca_system_score_gemma":0.00003814436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004428005,"about_ca_topic_score_gemma":0.00002416041,"domain_scores_codex":[0.9986015,0.00007441114,0.0001706588,0.0004362938,0.0003963005,0.0003208393],"domain_scores_gemma":[0.9985366,0.001069402,0.00003512242,0.0001945965,0.00001815027,0.0001461604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001160074,0.000773572,0.3462785,0.0000966832,0.0001559663,0.002749246,0.0008927608,0.00036065,0.0782234,0.01424474,0.501523,0.05354137],"study_design_scores_gemma":[0.002156107,0.0003177393,0.9254632,0.00009030107,0.00005131713,0.0000165508,0.0001825848,0.001876351,0.002916952,0.01565379,0.05091584,0.0003592274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9115949,0.0009180295,0.000110506,0.07753281,0.002628694,0.0005604932,0.0001742818,0.0006727356,0.005807564],"genre_scores_gemma":[0.9946551,0.00003311654,0.00001396741,0.004778633,0.0003693309,0.00003682517,0.00001111507,0.000009188774,0.00009277469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5791847,"threshold_uncertainty_score":0.458927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05397539786469129,"score_gpt":0.3102206741356726,"score_spread":0.2562452762709813,"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."}}