{"id":"W2890996272","doi":"10.1016/j.neuroimage.2019.02.062","title":"Benchmarking functional connectome-based predictive models for resting-state fMRI","year":2019,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":366,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Alzheimer's Disease Neuroimaging Initiative; GE Healthcare; Genentech; National Institutes of Health; H. Lundbeck A/S; Servier; Eisai; Fujirebio Europe; Horizon 2020; DoD Alzheimer's Disease Neuroimaging Initiative; Pfizer; Biogen; Eli Lilly and Company; U.S. Department of Defense; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Agence Nationale de la Recherche; Roche; Merck; Alzheimer's Drug Discovery Foundation; Takeda Pharmaceutical Company; AbbVie; Alzheimer's Association","keywords":"Connectome; Resting state fMRI; Artificial intelligence; Machine learning; Computer science; Human Connectome Project; Regression; Benchmark (surveying); Psychology; Functional connectivity; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0583375352554963,"score_gpt":0.2639090530698645,"score_spread":0.2055715178143682,"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."}}