{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003254731,0.0002411608,0.000336123,0.002005151,0.0004995089,0.0006603606,0.0003718329,0.0004515346,0.003133346],"category_scores_gemma":[0.001232703,0.0002209086,0.0003610128,0.001677505,0.0007860013,0.0003244779,0.0005138779,0.0004343269,0.000194378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002726449,"about_ca_system_score_gemma":0.0002207766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003981561,"about_ca_topic_score_gemma":0.004146116,"domain_scores_codex":[0.9993937,0.0002181062,0.00002898032,0.0002280625,0.00006490209,0.00006629658],"domain_scores_gemma":[0.9991744,0.0003857682,0.0001776852,0.00009881609,0.00008102262,0.00008229854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008442043,0.00009055616,0.8888847,0.00009973907,0.001340911,0.002007945,0.001577078,0.002631926,0.06223446,0.007937413,0.0006972581,0.0316539],"study_design_scores_gemma":[0.00001155938,0.00004776616,0.9908845,0.00001406527,0.0001262056,0.0009074825,0.0003097785,0.0007291673,0.0007548153,0.005583365,0.0006190234,0.00001222382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995954,0.0006263116,0.001349609,0.0003032881,0.000006398317,0.000005285918,0.0005671788,0.00001634604,0.00117144],"genre_scores_gemma":[0.9990814,0.0001800575,0.0003072729,0.00003514397,0.00001404403,0.000003886573,0.0001691202,0.000005292382,0.0002037447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003981561,"threshold_uncertainty_score":0.01048213,"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."}}