{"id":"W2952810115","doi":"10.1093/cercor/bhy157","title":"Heritability of Regional Brain Volumes in Large-Scale Neuroimaging and Genetic Studies","year":2018,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institute on Aging; National Institute of General Medical Sciences; National Institute of Mental Health; Medical Research Council; Canadian Institutes of Health Research; National Science Foundation; National Institutes of Health; Cancer Prevention and Research Institute of Texas","keywords":"Heritability; Biobank; Neurocognitive; Brain size; Neuroimaging; Single-nucleotide polymorphism; Brain Structure and Function; Biology; Genetics; Population; Genome-wide association study; Genetic correlation; Evolutionary biology; Genetic variation; Neuroscience; Medicine; Genotype; Magnetic resonance imaging; Cognition; Gene","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":[0.004363148,0.0002464602,0.000419118,0.001003177,0.0003579374,0.000812554,0.0002977387,0.000315197,0.001585403],"category_scores_gemma":[0.01232856,0.0002535315,0.0004169291,0.00140886,0.000747281,0.0004912196,0.0008791584,0.0004108012,0.0001699719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546524,"about_ca_system_score_gemma":0.0002204239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00573104,"about_ca_topic_score_gemma":0.0080875,"domain_scores_codex":[0.9969624,0.001310705,0.0002386428,0.0009386052,0.0003787126,0.0001708584],"domain_scores_gemma":[0.9917507,0.004422355,0.00151389,0.001795374,0.0003721397,0.000145573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001428927,0.00002106947,0.9770487,0.00006384716,0.001309981,0.0003917328,0.0006631991,0.001232665,0.004145686,0.001441865,0.0008896192,0.01264876],"study_design_scores_gemma":[0.00000432497,0.00001742383,0.9974953,0.00001563421,0.0001101471,0.0002280364,0.00009474531,0.0004453251,0.0002713669,0.00091169,0.0003995246,0.000006500336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861788,0.001564445,0.008415141,0.0002394138,0.00002565965,0.00002985436,0.00152155,0.00006637326,0.001958987],"genre_scores_gemma":[0.9984596,0.0001442993,0.0008309687,0.00002196255,0.000009720145,0.00001311272,0.0004091029,0.00001027097,0.0001008789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00573104,"threshold_uncertainty_score":0.02307481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086853196600229,"score_gpt":0.2952834067639717,"score_spread":0.2744148747979694,"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."}}