{"id":"W3016306959","doi":"10.1002/hbm.25015","title":"The <scp>ENIGMA</scp> Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke","year":2020,"lang":"en","type":"review","venue":"Human Brain Mapping","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University of Toronto; Ontario Brain Institute; University of Waterloo; Sunnybrook Health Science Centre; University of British Columbia; Vancouver Coastal Health","funders":"H2020 European Research Council; National Institute of General Medical Sciences; National Institute on Aging; Einstein Stiftung Berlin; National Key Research and Development Program of China; Health Research Council of New Zealand; National Institute of Neurological Disorders and Stroke; Helse Sør-Øst RHF; National Center for Advancing Translational Sciences; Medical Research Council; National Institutes of Health; Max-Planck-Gesellschaft; Ministero della Salute; Deutsche Forschungsgemeinschaft; Bundesministerium für Bildung und Forschung; BrightFocus Foundation; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Alliance for Research on Schizophrenia and Depression; Eberhard Karls Universität Tübingen; Stroke Association; U.S. Department of Veterans Affairs; Center for Integrated Healthcare, U.S. Department of Veterans Affairs; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; American Heart Association; Brain and Behavior Research Foundation; National Health and Medical Research Council; National Institute of Nursing Research; National Institute of Mental Health; Horizon 2020 Framework Programme; Norges Forskningsråd; Leon Levy Foundation","keywords":"Neuroimaging; Stroke (engine); Neuroinformatics; Data collection; Harmonization; Demographics; Big data; Medicine; Psychology; Physical medicine and rehabilitation; Data science; Neuroscience; Computer science; Data mining","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":[0.02796758,0.001163537,0.003541905,0.005960945,0.0007032469,0.003155674,0.002588883,0.002700294,0.01196231],"category_scores_gemma":[0.05649465,0.000579192,0.005415721,0.007438794,0.0007904759,0.002538176,0.003736151,0.00407124,0.003780703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172989,"about_ca_system_score_gemma":0.01773214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005787911,"about_ca_topic_score_gemma":0.009320719,"domain_scores_codex":[0.9927552,0.00404614,0.001171886,0.0004946655,0.001241979,0.0002900684],"domain_scores_gemma":[0.9321855,0.05038884,0.004163252,0.002931217,0.008379797,0.001951293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003308487,0.00005387828,0.001044337,0.08594213,0.004472084,0.0001156816,0.0002517042,0.0005850354,0.0005041397,0.008769963,0.2358439,0.6620864],"study_design_scores_gemma":[0.0004078317,0.0001863472,0.005485164,0.1212164,0.004377297,0.0003237946,0.0001161956,0.0004604189,0.0005486579,0.02074676,0.8460435,0.00008767465],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005343267,0.9352915,0.004700122,0.0395772,0.003298539,0.001002111,0.007624698,0.0003556789,0.007615843],"genre_scores_gemma":[0.004655228,0.9452645,0.01654607,0.01705254,0.003716407,0.002628669,0.007660688,0.00026314,0.002212821],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02796758,"threshold_uncertainty_score":0.1479084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2053922398281474,"score_gpt":0.3483642634338834,"score_spread":0.142972023605736,"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."}}