{"id":"W4388836197","doi":"10.2196/53084","title":"Potential Effects of an Exoskeleton-Assisted Overground Walking Program for Individuals With Spinal Cord Injury Who Uses a Wheelchair on Imaging and Serum Markers of Bone Strength: Pre-Post Study","year":2023,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Université du Québec à Montréal; McGill University; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Medicine; Bone mineral; Spinal cord injury; Osteoporosis; Femoral neck; Femur; Tibia; Quantitative computed tomography; Paraplegia; Spinal cord; Physical therapy; Physical medicine and rehabilitation; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006186615,0.0007737409,0.001296776,0.0004696234,0.0007249321,0.0003707411,0.0003812519,0.0008113976,0.002596385],"category_scores_gemma":[0.001021393,0.0002804836,0.001044601,0.0003414779,0.0002578058,0.0003973341,0.0005389425,0.0008420685,0.0003613908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004260353,"about_ca_system_score_gemma":0.0008827228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003475401,"about_ca_topic_score_gemma":0.006283673,"domain_scores_codex":[0.9996183,0.00008738202,0.00004660535,0.00006212763,0.00004267116,0.0001429149],"domain_scores_gemma":[0.9991812,0.00008675168,0.0001127733,0.00003944418,0.0001592807,0.0004205861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.215087,0.3025694,0.2837074,0.002075723,0.002551374,0.0006668186,0.001509067,0.001048288,0.01161152,0.00005578636,0.001292553,0.177825],"study_design_scores_gemma":[0.006338084,0.3359345,0.6542662,0.00008398731,0.0007743718,0.00005066898,0.0004365246,0.0003813748,0.001141889,0.00002687367,0.0005356955,0.00002982174],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989175,0.00009667426,0.00004318147,0.00003189466,0.00001467513,0.0004851951,0.0001726276,0.00000862505,0.0002297075],"genre_scores_gemma":[0.9964626,0.0001767779,0.0003565122,0.00007737474,0.00003340193,0.001400258,0.0004978066,0.000002211214,0.000993069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003475401,"threshold_uncertainty_score":0.008685768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545185759898235,"score_gpt":0.3735673393589906,"score_spread":0.3581154817600082,"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."}}