{"id":"W2982818586","doi":"10.1093/cercor/bhz241","title":"Polygenic Architecture of Human Neuroanatomical Diversity","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Drug Abuse; National Institute of Mental Health; Biotechnology and Biological Sciences Research Council; Medical Research Council; Institut Pasteur; Siemens Healthineers; McGill University; Université Paris Diderot; Fondation pour la Recherche Médicale; National Institutes of Health; Canada First Research Excellence Fund; Fondation Cognacq-Jay; Agence Nationale de la Recherche; European Commission; Centre National de la Recherche Scientifique; Fondation Orange","keywords":"Diversity (politics); Architecture; Neuroscience; Biology; Evolutionary biology; Psychology; Geography; Sociology; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005160487,0.00008379739,0.0001500853,0.00001349854,0.00009003681,0.000002547816,0.0001874148,0.0001071118,0.00004919886],"category_scores_gemma":[0.00008901268,0.00008040731,0.0001073831,0.00005851151,0.00006752261,8.076654e-7,0.0003526704,0.00008877793,0.00000861985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004232815,"about_ca_system_score_gemma":0.00002280506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003210537,"about_ca_topic_score_gemma":0.00001652903,"domain_scores_codex":[0.9993452,0.00006389843,0.0001516424,0.0002243937,0.00006305778,0.000151828],"domain_scores_gemma":[0.9996342,0.000007652045,0.00007961514,0.0001499487,0.00003236872,0.0000962072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004808004,0.00003583741,0.4838993,0.00001505846,0.00007617456,0.000001936455,0.0001450955,0.00004402924,0.5059208,0.00031147,0.008300971,0.001201201],"study_design_scores_gemma":[0.0005443642,0.0005483773,0.9862006,0.000001912773,0.00003524781,0.0000046132,0.00005990648,0.0001354573,0.008708476,0.0005079375,0.003084177,0.0001688949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973854,0.00009765845,0.0005875293,0.0009381066,0.00004494051,0.00006643451,0.00001991964,0.000008848662,0.0008510907],"genre_scores_gemma":[0.998203,0.000008648351,0.0002730544,0.001174043,0.0001380295,0.000001129232,0.00006381496,0.000007991767,0.0001303124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5023013,"threshold_uncertainty_score":0.3278915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834811688445015,"score_gpt":0.2491418649616118,"score_spread":0.2307937480771617,"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."}}