{"id":"W3105086774","doi":"10.1126/sciadv.abc6457","title":"Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study","year":2020,"lang":"en","type":"article","venue":"Science Advances","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"UCB Pharma; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Fundação de Amparo à Pesquisa do Estado de São Paulo; Universidade Estadual de Campinas; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Medical Research Council; Hospital for Sick Children; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; State Government of Victoria; Canada Research Chairs; Conselho Nacional de Desenvolvimento Científico e Tecnológico; McDonnell Center for Systems Neuroscience; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University College London; Centre Azrieli de recherche sur l'autisme, Institut et Hôpital Neurologiques de Montréal; University College London Hospitals NHS Foundation Trust; Ministero dell’Istruzione, dell’Università e della Ricerca; Sick Kids Foundation; Royal Melbourne Hospital Neuroscience Foundation; National Institute on Aging; National Institute for Health and Care Research; European Commission; National Science Foundation; Science Foundation Ireland; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Epilepsy Society","keywords":"Atrophy; Epilepsy; Neuroscience; Medicine; Computer science; Pathology; Biology","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":[0.003672687,0.0007270811,0.0005122144,0.001948465,0.0003118796,0.0009667487,0.0005713514,0.0003782843,0.0008045581],"category_scores_gemma":[0.008629651,0.0001817162,0.00071515,0.001640939,0.0006874176,0.001319226,0.00153942,0.0005990289,0.0001092787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004098426,"about_ca_system_score_gemma":0.0005360178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004862154,"about_ca_topic_score_gemma":0.007256289,"domain_scores_codex":[0.9992436,0.0004989798,0.0000295262,0.0001474354,0.0000448059,0.00003563041],"domain_scores_gemma":[0.9973915,0.00147672,0.0003934708,0.0004584487,0.0001856023,0.00009428658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002520875,0.0001080073,0.3780868,0.0005970474,0.003954289,0.001106429,0.002200283,0.278998,0.005201063,0.07474206,0.004935377,0.2498186],"study_design_scores_gemma":[0.00003148262,0.0001509491,0.1691862,0.0003077224,0.0006582976,0.0006826053,0.001309681,0.6914805,0.001266461,0.1267021,0.008164395,0.00005969295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8069139,0.007341987,0.1797409,0.002475377,0.00006671112,0.00005033776,0.000623818,0.0002565467,0.002530393],"genre_scores_gemma":[0.9779755,0.001350061,0.01986005,0.00006204248,0.00004674716,0.00003459549,0.000334367,0.00005240109,0.0002841697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004862154,"threshold_uncertainty_score":0.01942325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07652790780612222,"score_gpt":0.3073887429659548,"score_spread":0.2308608351598325,"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."}}