{"id":"W2794107469","doi":"10.1038/s41598-018-21568-7","title":"Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Institutes of Health; University of Dundee; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; National Center for Advancing Translational Sciences; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Entorhinal cortex; Neuroscience; Brain morphometry; Computer science; Multiplex; Cortex (anatomy); Alzheimer's disease; Pattern recognition (psychology); Biology; Hippocampus; Artificial intelligence; Medicine; Pathology; Disease; Magnetic resonance imaging; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003443278,0.0002832367,0.0002755026,0.0002976953,0.001892553,0.0004627396,0.0002593966,0.00009725412,0.0006216291],"category_scores_gemma":[0.0385598,0.0002552322,0.0001645975,0.0009631978,0.001649908,0.0004062789,0.0004365631,0.0002055003,0.0002330323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019315,"about_ca_system_score_gemma":0.0001345789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005541323,"about_ca_topic_score_gemma":0.00009953572,"domain_scores_codex":[0.9954929,0.0002980943,0.0006610049,0.00194398,0.000910232,0.0006937893],"domain_scores_gemma":[0.9932041,0.005211779,0.0004351265,0.0007089022,0.0002771261,0.0001629398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000415569,0.00009739259,0.01078079,0.00001197874,0.00004710865,0.0004535947,0.0002919603,0.0001178617,0.7343822,0.0001929273,0.2524417,0.001140953],"study_design_scores_gemma":[0.0006017776,0.0002732679,0.02306157,0.00007661857,0.00003626324,0.00157492,0.0002307349,0.004089858,0.6274853,0.03407803,0.307661,0.0008306718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720313,0.00004548075,0.0006563361,0.01370775,0.01053574,0.00039153,0.00001539433,0.0003379806,0.002278516],"genre_scores_gemma":[0.9902025,0.000001344479,0.001134107,0.003408111,0.0002960922,0.0000445505,0.00002017487,0.00002677914,0.004866289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068969,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03713094014946001,"score_gpt":0.2804282117987404,"score_spread":0.2432972716492804,"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."}}