{"id":"W3163997615","doi":"10.3389/fdata.2021.661110","title":"Inter-Cohort Validation of SuStaIn Model for Alzheimer’s Disease","year":2021,"lang":"en","type":"article","venue":"Frontiers in Big Data","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":27,"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; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Janssen Alzheimer Immunotherapy Research And Development; European Commission; Eli Lilly and Company; U.S. Department of Defense; Medical Research Council; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Horizon 2020 Framework Programme; Foundation for the National Institutes of Health","keywords":"Dementia; Neuroimaging; Subtyping; Alzheimer's Disease Neuroimaging Initiative; Atrophy; Neuropsychology; Disease; Set (abstract data type); Medicine; Psychology; Alzheimer's disease; Cognition; Artificial intelligence; Neuroscience; Pathology; Computer science","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":[0.03771388,0.001763223,0.001460727,0.001533489,0.001076651,0.001594733,0.002541237,0.001602271,0.002327988],"category_scores_gemma":[0.03787522,0.000522603,0.001926651,0.0006724093,0.001097693,0.0008324852,0.002726403,0.002665045,0.001089807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009789841,"about_ca_system_score_gemma":0.002520258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01530653,"about_ca_topic_score_gemma":0.01644002,"domain_scores_codex":[0.995883,0.002303566,0.000216773,0.0008980532,0.0004898771,0.0002088405],"domain_scores_gemma":[0.9782832,0.01249637,0.0008440178,0.00454933,0.003067018,0.0007600859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00696092,0.001521096,0.4155555,0.0005120731,0.004391782,0.000875065,0.0006734839,0.4063824,0.004141199,0.002678091,0.02090069,0.1354077],"study_design_scores_gemma":[0.0003190885,0.001361485,0.0481828,0.0001514477,0.0005640723,0.0003799253,0.0002797525,0.9383932,0.002585199,0.004158705,0.003537953,0.00008623653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8782521,0.002371336,0.1037408,0.0009450232,0.0005446426,0.0006498556,0.008947739,0.0017667,0.002781732],"genre_scores_gemma":[0.9540459,0.0003373025,0.0252497,0.0002147426,0.00007904151,0.0003084014,0.01777099,0.0001842697,0.001809554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03771388,"threshold_uncertainty_score":0.1994525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154692938541336,"score_gpt":0.3670078599518083,"score_spread":0.2515385660976747,"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."}}