{"id":"W3165300220","doi":"10.1093/braincomms/fcab091","title":"Simulating the outcome of amyloid treatments in Alzheimer's disease from imaging and clinical data","year":2021,"lang":"en","type":"article","venue":"Brain Communications","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":19,"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; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; National Institutes of Health; Institut national de recherche en informatique et en automatique (INRIA); Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Agence Nationale de la Recherche; 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; Clinical trial; Disease; Medicine; Intervention (counseling); Alzheimer's Disease Neuroimaging Initiative; Psychological intervention; Amyloid (mycology); Drug development; Alzheimer's disease; Intensive care medicine; Medical physics; Drug; Pathology; Pharmacology; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006602,0.0005231131,0.000498683,0.0003443397,0.0001525891,0.000635141,0.0005771129,0.000981305,0.001558909],"category_scores_gemma":[0.006035607,0.0002327483,0.0004948761,0.000239227,0.0006558666,0.0004807888,0.0004576207,0.0007023059,0.0001080622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005937967,"about_ca_system_score_gemma":0.0008595642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008398928,"about_ca_topic_score_gemma":0.004435662,"domain_scores_codex":[0.9997929,0.0001110922,0.0000101422,0.00003185288,0.00002608262,0.00002801287],"domain_scores_gemma":[0.9968321,0.002660582,0.0002144977,0.00009135552,0.0001100578,0.00009152373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001301889,0.00004857016,0.001589895,0.00003652065,0.00001692377,0.00005708731,0.0000255346,0.9939488,0.0004570572,0.001913199,0.0001386903,0.001637424],"study_design_scores_gemma":[0.00004517381,0.00005575355,0.0004253377,0.000006508656,0.000009864812,0.0000211911,0.00001408414,0.9965048,0.0003825687,0.002305987,0.0002225852,0.000006082289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82909,0.0008596135,0.1610228,0.001438205,0.0001414535,0.0001746352,0.001590306,0.0002744044,0.00540864],"genre_scores_gemma":[0.9817376,0.0002708207,0.01623018,0.0001362196,0.00001862539,0.0001380885,0.0003477048,0.00001892857,0.001101842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008398928,"threshold_uncertainty_score":0.01670009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2965231433598393,"score_gpt":0.438544997442006,"score_spread":0.1420218540821667,"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."}}