{"id":"W3116752943","doi":"10.1101/2020.12.21.423838","title":"The ENIGMA Toolbox: Cross-disorder integration and multiscale neural contextualization of multisite neuroimaging datasets","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"NIH Blueprint for Neuroscience Research; Natural Sciences and Engineering Research Council of Canada; McDonnell Center for Systems Neuroscience; Canadian Institutes of Health Research; National Science Foundation; Epilepsy Society; Centre Azrieli de recherche sur l'autisme, Institut et Hôpital Neurologiques de Montréal; Hospital for Sick Children; National Research Foundation of Korea; National Institutes of Health; Canada Research Chairs; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Montreal Neurological Institute and Hospital; Max-Planck-Gesellschaft; National Research Foundation; University College London; National Institute of Neurological Disorders and Stroke; National Institute for Health and Care Research; Savoy Foundation","keywords":"Toolbox; Neuroimaging; Cytoarchitecture; Computer science; Neuroinformatics; Connectome; Python (programming language); Neuroscience; Data science; Workflow; Neuroanatomy; Functional connectivity; Artificial intelligence; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003897967,0.001620442,0.001032699,0.004259248,0.0008236128,0.003456789,0.002476295,0.001090496,0.03148751],"category_scores_gemma":[0.01481032,0.0011158,0.001890535,0.002410505,0.0008181273,0.00286933,0.005876791,0.00222049,0.01335262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006378237,"about_ca_system_score_gemma":0.002400788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003454331,"about_ca_topic_score_gemma":0.007772199,"domain_scores_codex":[0.9990251,0.0002470574,0.0001092055,0.000305785,0.0002327423,0.00008013309],"domain_scores_gemma":[0.996613,0.001716724,0.0002689402,0.0008438259,0.0003207477,0.0002367774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000602111,0.0001527216,0.00853694,0.002331616,0.001152356,0.001077826,0.001825485,0.01929628,0.0126182,0.04451876,0.7241299,0.1837578],"study_design_scores_gemma":[0.0005079199,0.0001160567,0.01575452,0.001015215,0.0003151564,0.00170216,0.0006525249,0.196743,0.01952858,0.2707771,0.4925148,0.0003730053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008072508,0.0009846241,0.6517581,0.001372464,0.0003469271,0.0003388085,0.09460068,0.2360967,0.006429202],"genre_scores_gemma":[0.07712719,0.001465414,0.7485287,0.001160035,0.0001774257,0.00313598,0.1111499,0.0520149,0.005240473],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03148751,"threshold_uncertainty_score":0.1053362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048926066229087,"score_gpt":0.2695296694308558,"score_spread":0.239040408768565,"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."}}