{"id":"W2621078918","doi":"10.1016/j.bandl.2017.04.008","title":"Genome-wide association study of language performance in Alzheimer’s disease","year":2017,"lang":"en","type":"article","venue":"Brain and Language","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; U.S. National Library of Medicine; National Institute on Aging; Canadian Institutes of Health Research; U.S. Department of Defense; National Science Foundation; National Institutes of Health; National Center for Research Resources; Alzheimer's Association","keywords":"Genome-wide association study; GLI3; Psychology; Neuroimaging; Neuroscience; Association (psychology); Genetic architecture; Genetic association; Disease; Biology; Genetics; Gene; Medicine; Genotype; Transcription factor; Single-nucleotide polymorphism; Pathology","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":[0.001655861,0.0007213661,0.0006133278,0.001312574,0.001069616,0.00110149,0.0008279399,0.001067985,0.002048177],"category_scores_gemma":[0.002547538,0.0005259214,0.001129894,0.001764332,0.0006506363,0.0004486412,0.0009177786,0.001247301,0.0003292597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00039171,"about_ca_system_score_gemma":0.0004203778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0120143,"about_ca_topic_score_gemma":0.0121835,"domain_scores_codex":[0.998743,0.0004736298,0.0001709868,0.0003487114,0.0001281218,0.0001355625],"domain_scores_gemma":[0.9984118,0.0005398394,0.0004141293,0.0002027757,0.0001941422,0.0002373369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002862952,0.0002659307,0.9790708,0.00005675382,0.002909733,0.00107807,0.0005540461,0.0002833937,0.008271146,0.0002434352,0.0005355857,0.003868068],"study_design_scores_gemma":[0.00004145766,0.0001112075,0.9979762,0.000006434977,0.0004557617,0.0003587521,0.0001617344,0.0002399645,0.0002752246,0.0001232658,0.0002407349,0.000009235038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982046,0.0005571507,0.0001517562,0.0001525754,0.00002626914,0.000003137581,0.0003271473,0.00001084007,0.0005664205],"genre_scores_gemma":[0.9990746,0.0001327806,0.0001236301,0.00003061183,0.0000165081,0.000003433,0.000187866,0.000007040741,0.0004235579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0120143,"threshold_uncertainty_score":0.02388877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009016953200062492,"score_gpt":0.2533246794514211,"score_spread":0.2443077262513586,"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."}}