{"id":"W3021760220","doi":"10.1089/brain.2020.0937","title":"Hypermetabolic Cerebellar Connectome in Alzheimer's Disease","year":2021,"lang":"en","type":"article","venue":"Brain Connectivity","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba; Health Sciences Centre","funders":"Johnson and Johnson Pharmaceutical Research and Development; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Mitacs; Eisai; Janssen Alzheimer Immunotherapy Research And Development; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; Natural Sciences and Engineering Research Council of Canada; BioClinica; U.S. Department of Defense; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Connectome; Neuroscience; Functional connectivity; Cerebellum; Alzheimer's disease; Resting state fMRI; Psychology; Disease; Medicine; Pathology","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"],"consensus_categories":[],"category_scores_codex":[0.0006792975,0.0003937829,0.0005606221,0.0002490586,0.0003611071,0.0001082622,0.0003139728,0.0001131757,0.0003970413],"category_scores_gemma":[0.05863937,0.0004285045,0.000221211,0.001421318,0.0002801233,0.0004750364,0.0004105579,0.0004351985,0.0002978956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128548,"about_ca_system_score_gemma":0.0004181628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007918139,"about_ca_topic_score_gemma":0.0005430855,"domain_scores_codex":[0.995737,0.001079181,0.000364625,0.00151859,0.0005713414,0.000729225],"domain_scores_gemma":[0.9794932,0.01913162,0.0001179531,0.0008297578,0.0001302947,0.0002971564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008927701,0.003614016,0.1685712,0.0001542523,0.0002650383,0.005301591,0.001180854,0.001573703,0.5692766,0.1889045,0.02721557,0.03304981],"study_design_scores_gemma":[0.003898941,0.0001276915,0.510663,0.00009432292,0.0001122265,0.0002371834,0.000290542,0.002328685,0.3167419,0.0279632,0.135932,0.001610256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504599,0.001740261,0.0001732003,0.03813655,0.00101354,0.00048496,0.0001134773,0.0003060103,0.007572094],"genre_scores_gemma":[0.9819959,0.00007109435,0.00007049875,0.01701745,0.0002494139,0.0001171173,0.000007245251,0.00005495521,0.0004163648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3420918,"threshold_uncertainty_score":0.9998167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04834661996786381,"score_gpt":0.2829456714555824,"score_spread":0.2345990514877186,"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."}}