{"id":"W2619009799","doi":"10.1016/j.dadm.2017.05.001","title":"Longitudinal changes in amyloid positron emission tomography and volumetric magnetic resonance imaging in the nondemented Down syndrome population","year":2017,"lang":"en","type":"article","venue":"Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring","topic":"Down syndrome and intellectual disability research","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of Pittsburgh; University of Wisconsin-Madison","keywords":"Pittsburgh compound B; Magnetic resonance imaging; Nuclear medicine; Positron emission tomography; Standardized uptake value; Atrophy; Population; Dementia; Amyloid (mycology); Pathology; Medicine; Psychology; Radiology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005166284,0.0002182015,0.000215879,0.0008991067,0.0002974804,0.0005683483,0.0002757853,0.000456352,0.000737137],"category_scores_gemma":[0.002342622,0.0001922017,0.0001830169,0.0005644404,0.0002267535,0.0006443184,0.000317712,0.0005093354,0.0001741728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003630025,"about_ca_system_score_gemma":0.0002377434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009915528,"about_ca_topic_score_gemma":0.006626244,"domain_scores_codex":[0.9997641,0.00004757035,0.00002212495,0.00007395541,0.00004827217,0.00004388647],"domain_scores_gemma":[0.9992612,0.0000908868,0.0002899651,0.00003860932,0.0001429885,0.0001764612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009537104,0.00004247227,0.9974558,0.000002213532,0.00002184947,0.0001666414,0.0001074338,0.00001979777,0.0004177198,0.00001109582,0.00004558226,0.001613966],"study_design_scores_gemma":[0.000002534273,0.00007883682,0.9991834,0.000001453838,0.00001299075,0.0004261287,0.00008933528,0.00006563842,0.00006049744,0.00001171791,0.00006567066,0.00000185008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995259,0.0001268971,0.0000295415,0.00002495149,0.000001596646,0.000002334618,0.0001125243,0.000002691623,0.0001735909],"genre_scores_gemma":[0.9995939,0.00007646847,0.00002927541,0.00001157605,0.000002974277,0.000002185965,0.0001603315,9.066949e-7,0.0001223444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009915528,"threshold_uncertainty_score":0.01971561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04003771563802969,"score_gpt":0.3521142864530832,"score_spread":0.3120765708150535,"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."}}