{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001165736,0.00006849635,0.00007506379,0.00002412634,0.00006341036,0.00001905009,0.0001143917,0.00003160445,0.000008426598],"category_scores_gemma":[0.0001470567,0.00006668582,0.00001643216,0.00001634387,0.00001815921,0.000003371109,0.00009820634,0.0000344567,0.000001447449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004214712,"about_ca_system_score_gemma":0.00001523218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006083444,"about_ca_topic_score_gemma":0.0002925428,"domain_scores_codex":[0.9995407,0.00002520934,0.00009654058,0.0001554499,0.00007478708,0.0001073352],"domain_scores_gemma":[0.9996386,0.000009782105,0.0000787321,0.0002221865,0.00000996643,0.00004076881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004131407,0.0001374903,0.9206298,0.00001217837,0.0000253481,0.000009358244,0.002017355,0.000007442763,0.07492586,0.000001057599,0.00008092129,0.002111847],"study_design_scores_gemma":[0.0006823778,0.0001072038,0.9937608,0.00000486428,0.000009227065,1.708059e-7,0.001413742,0.00001293529,0.003451237,0.000001271731,0.0004746085,0.00008156475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978089,0.001037312,0.000001032605,0.0001510441,0.0000273082,0.0001622197,0.000008129881,0.000002482802,0.0008015177],"genre_scores_gemma":[0.9991837,0.0001032226,0.0000161656,0.0002023647,0.00001125862,0.000009193004,0.00002687489,0.000008220878,0.0004390433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07313097,"threshold_uncertainty_score":0.2719369,"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."}}