{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000883393,0.0004481336,0.0002909176,0.0009166539,0.0003802041,0.0007157469,0.0003071533,0.0005628271,0.006236077],"category_scores_gemma":[0.002364902,0.0001526572,0.000942484,0.001132792,0.0003552444,0.0002344213,0.0003224116,0.0005367655,0.0004865572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002439712,"about_ca_system_score_gemma":0.0004535118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006167913,"about_ca_topic_score_gemma":0.006445106,"domain_scores_codex":[0.9994813,0.0001548438,0.00006185445,0.0001800097,0.00005983093,0.00006230173],"domain_scores_gemma":[0.999108,0.0003567494,0.0002221307,0.0001358179,0.00006999805,0.0001072152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007905906,0.00009217005,0.9786613,0.00006733485,0.001556928,0.0009622703,0.0001587765,0.0003433991,0.005227145,0.0005835326,0.0004272354,0.0111294],"study_design_scores_gemma":[0.000009874607,0.00009991335,0.996781,0.00001720896,0.0003225581,0.0008395861,0.00004758113,0.0003301626,0.0003930409,0.000550994,0.0006022024,0.000005964451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899927,0.002168796,0.002098052,0.0002211722,0.00006493743,0.00001543776,0.001914999,0.00004257941,0.003481367],"genre_scores_gemma":[0.998179,0.0002345802,0.0002942576,0.00003408222,0.00002163936,0.000006015478,0.0004010032,0.000008075604,0.0008214037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006236077,"threshold_uncertainty_score":0.02086174,"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."}}