{"id":"W3183492561","doi":"10.3390/s21144940","title":"Wearable Robotic Gait Training in Persons with Multiple Sclerosis: A Satisfaction Study","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gait; Physical therapy; Rehabilitation; Physical medicine and rehabilitation; Medicine; Powered exoskeleton; Gait training; Wearable computer; Patient satisfaction; Quality of life (healthcare); Exoskeleton; Neurology; Multiple sclerosis; Wearable technology; Psychology; Nursing; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001105115,0.0002031149,0.0004941595,0.0005117033,0.0004554147,0.0004651953,0.000128628,0.0003979446,0.002359575],"category_scores_gemma":[0.002121554,0.0001410884,0.0007942811,0.0005612899,0.0002208949,0.0003101226,0.000390873,0.0003496555,0.0003205656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002563547,"about_ca_system_score_gemma":0.0002459281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338705,"about_ca_topic_score_gemma":0.003309327,"domain_scores_codex":[0.9994164,0.0002158434,0.00007480171,0.00005697978,0.0001612772,0.00007471516],"domain_scores_gemma":[0.9985056,0.0003277991,0.0004849909,0.00004326376,0.000369629,0.000268897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008425671,0.001531706,0.958078,0.0002805226,0.0002818782,0.000351761,0.003767206,0.0001331874,0.001500954,0.00004457256,0.0005375554,0.03265011],"study_design_scores_gemma":[0.00006056064,0.004039746,0.9899901,0.00003068396,0.0001005795,0.0005323512,0.003797798,0.0003785289,0.0001905273,0.00001484733,0.0008480226,0.00001616799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992529,0.00008711207,0.00009143224,0.00003036403,0.000003192529,0.00002584739,0.0000896349,0.000001800855,0.0004177155],"genre_scores_gemma":[0.9992416,0.0001015165,0.000104348,0.00006326254,0.000008136082,0.00003465268,0.0001102338,0.000001097127,0.0003353648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002359575,"threshold_uncertainty_score":0.007893562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025741024260692,"score_gpt":0.3081844417879196,"score_spread":0.2056103393618505,"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."}}