{"id":"W3030988535","doi":"10.1002/hbm.25037","title":"The <scp>ENIGMA‐Epilepsy</scp> working group: Mapping disease from large data sets","year":2020,"lang":"en","type":"review","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; European Regional Development Fund; Fonds de Recherche du Québec - Santé; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Stavros Niarchos Foundation; Hospital for Sick Children; National Natural Science Foundation of China; Eisai; Eberhard Karls Universität Tübingen; Medical Research Council; Medical Research Council Canada; National Health and Medical Research Council; Fundação de Amparo à Pesquisa do Estado de São Paulo; University of Melbourne; H. Lundbeck A/S; Monash University; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Deutsche Forschungsgemeinschaft; South African Medical Research Council; National Institute on Aging; Health Research Board; National Institute for Health and Care Research; Department of Health and Aged Care, Australian Government; European Commission; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Epilepsy Research UK; National Science Foundation; Science Foundation Ireland; Natural Sciences and Engineering Research Council of Canada; Biogen; Ministry of Health","keywords":"Epilepsy; Diffusion MRI; Neuroscience; Disease; Psychology; Clinical phenotype; Resting state fMRI; Data science; Computer science; Cognitive science; Medicine; Magnetic resonance imaging; Phenotype; Biology; Pathology; Genetics","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":[0.00300655,0.001096939,0.001529425,0.004128597,0.0002801685,0.00150657,0.001415833,0.001736815,0.005068667],"category_scores_gemma":[0.005380195,0.0003301143,0.001198518,0.003786938,0.0006086633,0.002110659,0.001501321,0.00249888,0.004126627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029402,"about_ca_system_score_gemma":0.004571752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002318298,"about_ca_topic_score_gemma":0.003446782,"domain_scores_codex":[0.9994086,0.0001858693,0.00008735986,0.00009940757,0.0001784599,0.00004035842],"domain_scores_gemma":[0.9967877,0.001986529,0.0002342698,0.0001422776,0.0006515713,0.0001976821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005570074,0.00002225941,0.0001839995,0.01659448,0.0002466508,0.0001190971,0.00007231486,0.0004585889,0.0007785556,0.006574661,0.1255991,0.8492947],"study_design_scores_gemma":[0.00002354897,0.00006112192,0.0009974261,0.01056457,0.0002131715,0.0006535951,0.00004036601,0.0001857036,0.0004306393,0.007529937,0.9792683,0.00003161102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001724727,0.9889392,0.002200543,0.004185072,0.001058351,0.00004850612,0.0005327259,0.00009492609,0.002768285],"genre_scores_gemma":[0.0007512699,0.9925176,0.002423365,0.001534021,0.0007007279,0.00009035051,0.0008079108,0.00003391594,0.001140789],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005068667,"threshold_uncertainty_score":0.01695633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2150294874315168,"score_gpt":0.3422461086132984,"score_spread":0.1272166211817816,"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."}}