{"id":"W2795556739","doi":"10.1186/s12984-018-0354-2","title":"Locomotor training using an overground robotic exoskeleton in long-term manual wheelchair users with a chronic spinal cord injury living in the community: Lessons learned from a feasibility study in terms of recruitment, attendance, learnability, performance and safety","year":2018,"lang":"en","type":"article","venue":"Journal of NeuroEngineering and Rehabilitation","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; 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":"Fonds de Recherche du Québec - Santé; Réseau Provincial de Recherche en Adaptation-Réadaptation; Ontario Neurotrauma Foundation; Rick Hansen Institute","keywords":"Powered exoskeleton; Exoskeleton; Physical medicine and rehabilitation; Spinal cord injury; Attendance; Rehabilitation; Medicine; Physical therapy; Psychology; Spinal cord","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":[0.003861579,0.0004372517,0.0004566555,0.0004215054,0.0006185987,0.0003244238,0.0004992716,0.000845051,0.001824622],"category_scores_gemma":[0.003330095,0.0001679111,0.0005461851,0.0001527535,0.0004404456,0.0005513214,0.0007591206,0.0004316004,0.0002318252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861773,"about_ca_system_score_gemma":0.00225199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002177915,"about_ca_topic_score_gemma":0.005428176,"domain_scores_codex":[0.9987943,0.0006875386,0.0001051933,0.00008830499,0.0001740491,0.0001506635],"domain_scores_gemma":[0.9986339,0.0004508376,0.0001833268,0.00007449211,0.0003402202,0.00031717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02504076,0.2716487,0.2143809,0.003717973,0.0004395607,0.002547127,0.01198622,0.001429749,0.05340001,0.0002427978,0.00129472,0.4138716],"study_design_scores_gemma":[0.006740775,0.4991021,0.4787514,0.0006613001,0.0003104231,0.0009765761,0.006000409,0.001925197,0.003179007,0.0001754419,0.002094527,0.00008287465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975223,0.0001251998,0.0005580619,0.0001461314,0.00001269487,0.001325007,0.00002129083,0.000007506486,0.0002817689],"genre_scores_gemma":[0.9904248,0.0004532443,0.00420517,0.0002220833,0.00005166297,0.003912197,0.00008665305,0.00000279677,0.0006413659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003861579,"threshold_uncertainty_score":0.02042222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08900491593387327,"score_gpt":0.3474321756203855,"score_spread":0.2584272596865122,"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."}}