{"id":"W4384662966","doi":"10.1161/strokeaha.123.043713","title":"White Matter Integrity and Chronic Poststroke Upper Limb Function: An ENIGMA Stroke Recovery Analysis","year":2023,"lang":"en","type":"article","venue":"Stroke","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Genentech; Biogen; U.S. Department of Veterans Affairs","keywords":"Medicine; Corticospinal tract; Stroke (engine); Upper limb; Physical medicine and rehabilitation; White matter; Stroke recovery; Motor function; Chronic stroke; Rehabilitation; Physical therapy; Magnetic resonance imaging; Diffusion MRI; 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":[0.002759726,0.0004231748,0.0005092145,0.001915163,0.0003920138,0.0006307629,0.0005937271,0.0003379135,0.001682846],"category_scores_gemma":[0.003670398,0.0001729902,0.0009680317,0.001453702,0.0003997104,0.0004992621,0.000966607,0.0004131249,0.0003308368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003414024,"about_ca_system_score_gemma":0.0005843719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003812013,"about_ca_topic_score_gemma":0.003583996,"domain_scores_codex":[0.9992944,0.0001707754,0.00009799418,0.0002195524,0.0001376178,0.00007958744],"domain_scores_gemma":[0.9970732,0.0007875774,0.001180241,0.0004969785,0.0002662312,0.0001957009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005448855,0.00005769766,0.9948295,0.00002793367,0.0005552986,0.00007123522,0.00007809041,0.0004056688,0.0006421236,0.00004402596,0.0001954189,0.002548201],"study_design_scores_gemma":[0.00001119012,0.0001746804,0.9971433,0.000005036549,0.0001323113,0.000214442,0.00006763242,0.00156516,0.0003055684,0.00005070132,0.0003241057,0.000005751706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979059,0.00007417396,0.000576219,0.00001544566,0.000001481998,0.000018069,0.001254998,0.00001102566,0.0001427578],"genre_scores_gemma":[0.9971545,0.00002185478,0.0006069642,0.000005542147,0.000003591904,0.0000346298,0.002015134,0.000006281794,0.0001514188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003812013,"threshold_uncertainty_score":0.01459497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378505263286107,"score_gpt":0.3293496916453229,"score_spread":0.2914991653167122,"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."}}