{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00155274,0.000195912,0.0004013549,0.0003611901,0.00008238182,0.00004567765,0.000163927,0.00005881359,0.000001017362],"category_scores_gemma":[0.0001846847,0.0001544655,0.00003919981,0.0003639441,0.0002201704,0.0004190178,0.00004253865,0.0006898535,4.701956e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002718306,"about_ca_system_score_gemma":0.00004179557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007934948,"about_ca_topic_score_gemma":0.00108887,"domain_scores_codex":[0.9981695,0.0004657759,0.0007187762,0.000189833,0.0002293028,0.0002268432],"domain_scores_gemma":[0.998861,0.0005830262,0.0001674777,0.000263726,0.00006501865,0.00005977451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005458181,0.0004419336,0.7388108,0.0005003567,0.00001831634,0.000007636446,0.01687799,0.2287361,0.002685223,0.000007174226,1.600437e-7,0.0113685],"study_design_scores_gemma":[0.001004858,0.009290359,0.9069131,0.001183529,0.00001937742,0.00002509603,0.003109467,0.07823741,0.00001236662,0.00006969344,0.000001032586,0.0001337135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974586,0.00007601619,0.001487603,0.000130384,0.0001198429,0.0007091582,0.00000251921,0.00001308661,0.000002838165],"genre_scores_gemma":[0.9983319,0.00008610269,0.00149785,0.000005544678,0.00004005867,0.00001170186,9.319983e-7,0.00002521052,6.937782e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1681023,"threshold_uncertainty_score":0.6298921,"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."}}