{"id":"W3126314261","doi":"10.3389/fnins.2021.605115","title":"Diagnosis of Alzheimer’s Disease Using Brain Network","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":35,"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; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Meso Scale Diagnostics; National Research Foundation of Korea; National Research Foundation; Northern California Institute for Research and Education; Ministry of Science and ICT, South Korea; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Support vector machine; Pairwise comparison; Feature selection; Artificial intelligence; Computer science; Pattern recognition (psychology); Neuroimaging; Graph; Machine learning; Correlation; Graph theory; Neuroscience; Psychology; Mathematics; Theoretical computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0002981687,0.0001609248,0.0002684314,0.0001387025,0.0002371496,0.00004178165,0.0003421242,0.00003281938,0.00001258221],"category_scores_gemma":[0.01876563,0.0001734006,0.0000926636,0.001869599,0.0005610389,0.000344483,0.0003154134,0.0001665742,0.000001952631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005036253,"about_ca_system_score_gemma":0.0002125672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000994351,"about_ca_topic_score_gemma":0.000005745578,"domain_scores_codex":[0.9976108,0.0003056576,0.0002840891,0.0008508971,0.0004979055,0.0004506577],"domain_scores_gemma":[0.9979294,0.001364906,0.0001240538,0.0004033741,0.00004992211,0.0001283575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009720778,0.0004813309,0.7178313,0.00005227216,0.000006497718,0.0007401963,0.00020673,0.05079327,0.1337798,0.00386591,0.08773266,0.004412823],"study_design_scores_gemma":[0.001268724,0.0001735566,0.5512957,0.0003137083,0.00008790845,0.00007165463,0.0002090071,0.1025645,0.2713863,0.02140233,0.05010505,0.001121676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436501,0.00466374,0.01526478,0.01740977,0.01650227,0.0006908765,0.00009725478,0.0001524291,0.001568827],"genre_scores_gemma":[0.9862587,0.0001798084,0.00294181,0.010343,0.0001007233,0.00003336276,5.112685e-7,0.00001946407,0.0001226311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1665356,"threshold_uncertainty_score":0.9894997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06628047671244919,"score_gpt":0.2908751230888335,"score_spread":0.2245946463763843,"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."}}