{"id":"W2176735277","doi":"10.1038/mp.2014.99","title":"Genomic architecture of human neuroanatomical diversity","year":2014,"lang":"en","type":"article","venue":"Molecular Psychiatry","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children; Trinity College; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Innovative Medicines Initiative; Medical Research Council; Fondation Bettencourt Schueller; European Commission; Fondation Cognacq-Jay; Fondation FondaMental","keywords":"Genetic architecture; Heritability; Biology; Neuroimaging; Genome; Genome-wide association study; Genotyping; Evolutionary biology; Single-nucleotide polymorphism; Human genome; Genomics; Genetics; Genetic diversity; Genetic variation; Human brain; Computational biology; Gene; Neuroscience; Quantitative trait locus; Genotype; Medicine; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000206272,0.0001223556,0.0001773909,0.00004385963,0.000122365,0.000003878607,0.0002593427,0.0001335279,0.0000149008],"category_scores_gemma":[0.00006078175,0.0001247935,0.0001594262,0.00005818059,0.00007943947,6.334722e-7,0.000304354,0.0001034146,0.000006746624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005991382,"about_ca_system_score_gemma":0.00003055453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003016222,"about_ca_topic_score_gemma":0.00003342587,"domain_scores_codex":[0.999045,0.0001694553,0.0002049149,0.0002896505,0.00008730774,0.000203711],"domain_scores_gemma":[0.9993806,0.000007586236,0.0001161935,0.0003880787,0.00003728455,0.00007018539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002504899,0.0001005156,0.5269254,0.00002075744,0.00009448813,8.306019e-7,0.00002682475,0.0005921902,0.4649389,0.003608776,0.002454374,0.001211855],"study_design_scores_gemma":[0.001676112,0.0009914498,0.9448147,0.00001362198,0.0001177512,0.0000299493,0.00005286611,0.0002216144,0.01772668,0.02141838,0.01236509,0.0005718268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811406,0.0002201093,0.0150474,0.000540674,0.0002181533,0.00008228188,0.000007621377,0.000009288548,0.002733924],"genre_scores_gemma":[0.9945827,0.000007509092,0.0042131,0.0009178742,0.0001317859,0.000003062391,0.00005160893,0.00001656,0.0000757916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4472122,"threshold_uncertainty_score":0.508893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005508116184341913,"score_gpt":0.2324701330315513,"score_spread":0.2269620168472094,"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."}}