{"id":"W1940889002","doi":"10.3389/fneur.2015.00226","title":"A Review of Transcranial Magnetic Stimulation and Multimodal Neuroimaging to Characterize Post-Stroke Neuroplasticity","year":2015,"lang":"en","type":"review","venue":"Frontiers in Neurology","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Michael Smith Health Research BC","keywords":"Transcranial magnetic stimulation; Neuroimaging; Neuroscience; Functional magnetic resonance imaging; Brain stimulation; Neuroplasticity; Stroke recovery; Stroke (engine); Psychology; Diffusion MRI; Transcranial direct-current stimulation; Electroencephalography; Brain activity and meditation; Functional neuroimaging; Magnetic resonance imaging; Physical medicine and rehabilitation; Medicine; Stimulation; Rehabilitation","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":[0.001157181,0.001175637,0.001733228,0.00553174,0.0003226727,0.001204316,0.001130855,0.001211754,0.003885871],"category_scores_gemma":[0.002625772,0.0004226406,0.001006491,0.005206917,0.0006347126,0.00191691,0.000638949,0.001246165,0.001257832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008086008,"about_ca_system_score_gemma":0.001800438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001668557,"about_ca_topic_score_gemma":0.003039455,"domain_scores_codex":[0.9993741,0.0001397242,0.0001878577,0.0001116712,0.0001538058,0.00003282339],"domain_scores_gemma":[0.9980896,0.001260453,0.0002572743,0.00003363231,0.0002969385,0.00006209312],"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":[0.000112425,0.00008052264,0.0005381439,0.07129539,0.0002715349,0.00053208,0.0002159967,0.0003357999,0.001474672,0.002293081,0.04147111,0.8813793],"study_design_scores_gemma":[0.0000244096,0.0002046303,0.004704292,0.04132362,0.0006298874,0.005557247,0.0001851217,0.0001821787,0.0004889037,0.002076937,0.9445578,0.00006498396],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000884113,0.9987941,0.0001797712,0.0002695679,0.0001496831,0.000009223895,0.00002902307,0.000006330301,0.0004740078],"genre_scores_gemma":[0.0004721446,0.9983643,0.0003542669,0.0002958989,0.0002821016,0.00001770529,0.00003589716,0.000002460614,0.0001752052],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00553174,"threshold_uncertainty_score":0.01299953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0459748870395601,"score_gpt":0.3084878796345141,"score_spread":0.262512992594954,"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."}}