{"id":"W3173472261","doi":"10.1101/2021.06.08.447489","title":"Brain charts for the human lifespan","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Montréal; Western University; Centre Hospitalier Universitaire Sainte-Justine; Queen's University; Douglas Mental Health University Institute; McGill University; Hospital for Sick Children; University of Toronto; Montreal Neurological Institute and Hospital; Holland Bloorview Kids Rehabilitation Hospital","funders":"National Institute of Mental Health; Medical Research Council; National Institute for Health and Care Research; National Institutes of Health; British Academy; UK Research and Innovation; Biotechnology and Biological Sciences Research Council; Department of Health and Social Care; NIHR Cambridge Biomedical Research Centre; Wellcome Trust","keywords":"Neuroimaging; Brain morphometry; Brain size; Normative; Psychology; Sample size determination; Magnetic resonance imaging; Medicine; Neuroscience; Statistics; Radiology","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":[0.002885602,0.0009608745,0.0005240039,0.00723032,0.0006823555,0.003391541,0.001187627,0.0005294696,0.04600303],"category_scores_gemma":[0.0195656,0.0002845915,0.000917466,0.006923927,0.0005043088,0.001774559,0.00344822,0.001148844,0.0123001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068558,"about_ca_system_score_gemma":0.002344921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009296613,"about_ca_topic_score_gemma":0.008869138,"domain_scores_codex":[0.9985593,0.0003968293,0.0001626175,0.0004052481,0.0004024231,0.00007359291],"domain_scores_gemma":[0.992866,0.002800001,0.001060736,0.001389747,0.001515568,0.0003678475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001952722,0.00004139111,0.02116708,0.001045533,0.0001552902,0.0001811801,0.001204696,0.008142209,0.0009057535,0.05731776,0.658219,0.2514248],"study_design_scores_gemma":[0.00003538126,0.00005299395,0.03167668,0.0006764639,0.00004830877,0.0002601947,0.0003871607,0.008185492,0.00093046,0.06459417,0.8930625,0.00009012675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02004533,0.003938538,0.1579129,0.002593083,0.0009051081,0.0005000198,0.729839,0.03171355,0.05255235],"genre_scores_gemma":[0.1438128,0.00293002,0.3256237,0.0007264781,0.0004773726,0.003594517,0.5027709,0.00883455,0.01122973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04600303,"threshold_uncertainty_score":0.1538954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04278531040889757,"score_gpt":0.2607045311801295,"score_spread":0.217919220771232,"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."}}