{"id":"W3010482578","doi":"10.1007/s11682-019-00247-9","title":"Metabolic and amyloid PET network reorganization in Alzheimer’s disease: differential patterns and partial volume effects","year":2020,"lang":"en","type":"article","venue":"Brain Imaging and Behavior","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Deutsche Forschungsgemeinschaft; 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; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Partial volume; Interpretability; Covariance; Modularity (biology); Neuropsychology; Psychology; Positron emission tomography; Neuroscience; Artificial intelligence; Computer science; Biology; Mathematics; Statistics; Cognition","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":[0.00008091806,0.000168525,0.0001996377,0.00004565271,0.000209083,0.0001265662,0.00005546322,0.00001523571,0.00001573048],"category_scores_gemma":[0.001206532,0.0001653139,0.00002064835,0.0001769237,0.0001377124,0.000193195,0.0001821079,0.0001252825,0.000002922445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006054948,"about_ca_system_score_gemma":0.0000116308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000367837,"about_ca_topic_score_gemma":0.00001212099,"domain_scores_codex":[0.9987559,0.0001662594,0.0001379932,0.0005449622,0.0001542071,0.0002406583],"domain_scores_gemma":[0.9990712,0.0006134573,0.00004640395,0.00009065808,0.00001392757,0.0001643061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005059687,0.00007110678,0.9356437,0.00003797351,0.000006797494,0.0001281503,0.0003600646,0.000007327321,0.05019224,0.0001704281,0.001098052,0.01223353],"study_design_scores_gemma":[0.0006953082,0.00003145712,0.9920696,0.00003156366,0.0001583053,0.00002704861,0.00002521142,0.00291947,0.003243354,0.00002921686,0.0005665819,0.0002028988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864709,0.001178022,0.0004007638,0.01132059,0.0002266023,0.0002958729,0.00002654499,0.00007678679,0.000003940583],"genre_scores_gemma":[0.9964232,0.0001224795,0.00003446362,0.003062921,0.000261164,0.00005029215,0.000006960343,0.00002291646,0.00001558962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05642585,"threshold_uncertainty_score":0.6741304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051069113055349,"score_gpt":0.251814327646151,"score_spread":0.2313036365155975,"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."}}