{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008752204,0.0003025058,0.0002852649,0.003460525,0.0003443407,0.0007469314,0.0002981147,0.0002939723,0.0008390752],"category_scores_gemma":[0.002363103,0.000131085,0.0003152072,0.002028197,0.0006518635,0.001680336,0.0005956034,0.0003224507,0.00007893394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004635177,"about_ca_system_score_gemma":0.0002526336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980958,"about_ca_topic_score_gemma":0.003061923,"domain_scores_codex":[0.999767,0.00007965425,0.00001712936,0.00006827591,0.00004261882,0.00002526635],"domain_scores_gemma":[0.9991435,0.0002902081,0.0002991115,0.0001137531,0.00008096442,0.00007249807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001063762,0.0002364495,0.5288129,0.001101297,0.001568718,0.000648348,0.002431103,0.03618681,0.09482829,0.03249616,0.001784625,0.2988415],"study_design_scores_gemma":[0.00004100688,0.0006687872,0.7773417,0.0001575738,0.000446387,0.001580015,0.001145912,0.1361068,0.01305991,0.06569623,0.003684339,0.00007133844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563643,0.002494373,0.03894934,0.0001523516,0.00001778817,0.0000396519,0.0003719195,0.0000627598,0.001547395],"genre_scores_gemma":[0.9918391,0.0006378675,0.007095266,0.00001193819,0.00001873198,0.00002662288,0.0001898326,0.000007546372,0.0001730997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003460525,"threshold_uncertainty_score":0.004628658,"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."}}