{"id":"W3118734193","doi":"10.1002/brb3.2027","title":"Brain network construction and analysis for patients with mild cognitive impairment and Alzheimer's disease based on a highly‐available nodes approach","year":2021,"lang":"en","type":"article","venue":"Brain and Behavior","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":8,"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; First Affiliated Hospital of Zhengzhou University; Genentech; IXICO; H. Lundbeck A/S; Servier; Zhengzhou University; 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":"Neuroimaging; Cognitive impairment; Computer science; Support vector machine; Resting state fMRI; Cognition; Alzheimer's Disease Neuroimaging Initiative; Functional magnetic resonance imaging; Alzheimer's disease; Disease; Node (physics); Graph theory; Artificial intelligence; Neuroscience; Medicine; Psychology; 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":[0.000141591,0.0001949526,0.0002460023,0.0001015652,0.0004323257,0.00009795954,0.00003028897,0.00004205037,0.0000178591],"category_scores_gemma":[0.0006747524,0.0001640251,0.0000566834,0.0003925099,0.0002936777,0.000114401,0.00005635407,0.00007606648,8.137025e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001751322,"about_ca_system_score_gemma":0.00004845896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009170752,"about_ca_topic_score_gemma":0.00001405903,"domain_scores_codex":[0.9985489,0.0001314396,0.0001316975,0.0007278644,0.000224067,0.0002360809],"domain_scores_gemma":[0.9969653,0.00258331,0.00007243391,0.0001307723,0.00009809755,0.0001500529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001208361,0.001165767,0.989554,0.00005798696,0.0001844541,0.00001791778,0.00009975369,0.0001010733,0.0002372284,0.0003564365,0.00219,0.004827024],"study_design_scores_gemma":[0.003630133,0.0006004118,0.9888898,0.00005263287,0.001730261,0.000005318853,0.0001407387,0.003439717,0.0007539418,0.00006249566,0.0003704082,0.000324156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995371,0.0002152145,0.0009363289,0.001944977,0.00007336977,0.0008775865,0.0004439356,0.0000407055,0.00009691509],"genre_scores_gemma":[0.9937401,0.00001115829,0.001976722,0.003620523,0.0000423664,0.0003540836,0.0001047344,0.00001735782,0.000132949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004502868,"threshold_uncertainty_score":0.6688749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127701912175906,"score_gpt":0.2526218996685127,"score_spread":0.2213448805467536,"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."}}