{"id":"W3031563897","doi":"10.3390/molecules25112472","title":"White Matter Brain Network Research in Alzheimer’s Disease Using Persistent Features","year":2020,"lang":"en","type":"article","venue":"Molecules","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Shanxi Provincial Key Research and Development Project; National Key Research and Development Program of China; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; H. Lundbeck A/S; Servier; Genentech; IXICO; North University of China; National Institutes of Health; Natural Science Foundation of Shanxi Province; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"White matter; Diffusion MRI; Persistent homology; Neuroscience; Connectome; Disease; Psychology; Cognition; Connectomics; Alzheimer's disease; Computer science; Medicine; Functional connectivity; Pathology; Magnetic resonance imaging","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":[0.00008397019,0.00008497393,0.0001150295,0.0000544976,0.00007696531,0.00001952703,0.00009403787,0.00002674839,0.00004049852],"category_scores_gemma":[0.00002625071,0.00007926379,0.00006682255,0.0003495901,0.00007285234,0.00002808685,0.00009723821,0.0002804489,0.00002623863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002527442,"about_ca_system_score_gemma":0.00003471939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001090005,"about_ca_topic_score_gemma":0.000001024442,"domain_scores_codex":[0.9991179,0.00005582199,0.0001117284,0.0002760681,0.0001822609,0.0002562499],"domain_scores_gemma":[0.9994922,0.00003285951,0.00001990373,0.0002308305,0.00003782034,0.0001864451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008509787,0.0003572615,0.5705575,0.0002408313,0.0001064606,0.001279712,0.0009078232,0.01322939,0.01713483,0.00527139,0.3848925,0.005171335],"study_design_scores_gemma":[0.001624056,0.0003675489,0.861503,0.0007519011,0.0002823717,0.000102756,0.0003140917,0.04229823,0.001903007,0.008171163,0.08196235,0.0007194927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3209667,0.007469865,0.01534755,0.6446054,0.00005812772,0.002208965,0.00003383073,0.0004228408,0.008886797],"genre_scores_gemma":[0.9687028,0.00001862376,0.0170452,0.01386811,0.000163319,0.00004463837,0.00001623257,0.00003286014,0.0001082037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6477361,"threshold_uncertainty_score":0.3232284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2368974460481099,"score_gpt":0.4271473711546619,"score_spread":0.190249925106552,"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."}}