{"id":"W2920762427","doi":"10.18632/aging.101844","title":"Genetic variation underlying cognition and its relation with neurological outcomes and brain imaging","year":2019,"lang":"en","type":"article","venue":"Aging","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Bundesministerium für Bildung und Forschung; ZonMw; Agence Nationale de la Recherche; National Health and Medical Research Council; European Commission; Canadian Institutes of Health Research; EU Joint Programme – Neurodegenerative Disease Research","keywords":"Cognition; Dementia; Brain Structure and Function; Population; Neuroimaging; Neurodegeneration; Cognitive decline; Rotterdam Study; Psychology; Medicine; Developmental psychology; Neuroscience; Internal medicine; Disease","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":[0.000176781,0.00007974508,0.00009202,0.00002798721,0.0000754951,0.00001892756,0.000025418,0.00005932562,0.000005773798],"category_scores_gemma":[0.0000982906,0.00006788516,0.00001314145,0.00003319161,0.00001693415,0.000006250894,0.00003956286,0.00005609153,0.000003672662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003681283,"about_ca_system_score_gemma":0.00001027061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008391848,"about_ca_topic_score_gemma":0.00000714411,"domain_scores_codex":[0.9993907,0.00007802098,0.0001115538,0.0002429397,0.00004606052,0.0001306928],"domain_scores_gemma":[0.9997289,0.00006349877,0.00007129036,0.00007435459,0.00003185904,0.00003008892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008857352,0.000005498614,0.9480943,0.000007070435,0.00001823917,8.971834e-7,0.00005738842,0.000210675,0.04938667,0.000106369,0.00001612458,0.002087914],"study_design_scores_gemma":[0.00043823,0.00008510543,0.9907413,0.000005949572,0.00001951874,0.00002544505,0.00003597761,0.007955011,0.0001038794,0.0003827727,0.0001161263,0.00009075736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920017,0.0003146888,0.005680169,0.001581374,0.00003846891,0.0001358647,0.000001416051,0.00001053411,0.0002358466],"genre_scores_gemma":[0.9971833,0.00005162161,0.001602556,0.001007055,0.00002558298,0.000006626638,0.00002364548,0.000008962909,0.00009060607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04928279,"threshold_uncertainty_score":0.2768277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512233184047745,"score_gpt":0.2602669415589712,"score_spread":0.2451446097184937,"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."}}