{"id":"W4410765044","doi":"10.1101/2025.05.22.655593","title":"Combining cortical and spinal stimulation maximizes improvement of gait after spinal cord injury","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Polytechnique Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec - Santé; Institut de Valorisation des Données","keywords":"Spinal cord injury; Gait; Spinal cord; Stimulation; Physical medicine and rehabilitation; Medicine; Neuroscience; Spinal cord stimulation; Psychology","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":[0.0001346925,0.0003551456,0.0003400703,0.0003732526,0.00008979538,0.000188921,0.0001785453,0.0002193295,0.002526111],"category_scores_gemma":[0.0001307843,0.00009484396,0.0001906119,0.0001719253,0.0002581046,0.0001819142,0.0002677819,0.0003158946,0.0002572999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392141,"about_ca_system_score_gemma":0.0002743498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003689178,"about_ca_topic_score_gemma":0.0008255561,"domain_scores_codex":[0.9999374,0.000008282369,0.000006083228,0.00001094203,0.00001631117,0.00002094412],"domain_scores_gemma":[0.9999501,0.000009724876,0.000009009793,0.000004749136,0.000006699272,0.00001976016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.000805889,0.000248105,0.0002642429,0.0001994959,0.00002673189,0.0000336681,0.0000133247,0.0004807286,0.9815005,0.0001482817,0.0001532837,0.01612579],"study_design_scores_gemma":[0.0002892012,0.01148105,0.02357648,0.0001086646,0.0002091231,0.000383773,0.000115025,0.006207988,0.9543089,0.0009624959,0.002342637,0.0000147476],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912819,0.00132788,0.004851713,0.0001314127,0.00005111554,0.00005544922,0.0001489121,0.0001617892,0.001989859],"genre_scores_gemma":[0.9950902,0.0007550241,0.002496407,0.00005380522,0.00002411257,0.00006495201,0.00008479728,0.0000153346,0.001415287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002526111,"threshold_uncertainty_score":0.008450687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736368442315459,"score_gpt":0.2797291975857074,"score_spread":0.2523655131625528,"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."}}