{"id":"W3129941111","doi":"10.2196/21312","title":"Usability, Usefulness, and Acceptance of a Novel, Portable Rehabilitation System (mRehab) Using Smartphone and 3D Printing Technology: Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Usability; Rehabilitation; System usability scale; Applied psychology; Technology acceptance model; Human–computer interaction; Psychology; Computer science; Physical therapy; Medicine; Heuristic evaluation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0138859,0.000695298,0.001161345,0.001223229,0.001207707,0.001753384,0.0006188588,0.0008956071,0.001351742],"category_scores_gemma":[0.01363295,0.0006305481,0.002261341,0.0008020683,0.0008517356,0.001194032,0.001057231,0.00065733,0.0002815523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007544553,"about_ca_system_score_gemma":0.001044895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505514,"about_ca_topic_score_gemma":0.002562997,"domain_scores_codex":[0.9917697,0.004359129,0.00107613,0.0006984611,0.001651862,0.0004447665],"domain_scores_gemma":[0.9874527,0.006660361,0.002049728,0.0007183607,0.002627331,0.0004915285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003576025,0.02082002,0.7587628,0.002894634,0.00147243,0.0008845124,0.1093775,0.0003028861,0.007825031,0.0002864059,0.0004104356,0.09338728],"study_design_scores_gemma":[0.000765138,0.07166052,0.835371,0.0006896873,0.001227237,0.001445194,0.07880782,0.002430704,0.004409951,0.000227159,0.002741735,0.0002238442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984126,0.000163772,0.0004538939,0.00001912509,0.000004798324,0.0005669164,0.00003713189,0.00000297306,0.0003387817],"genre_scores_gemma":[0.9948419,0.0003536336,0.002412476,0.0001151328,0.00001838758,0.001661805,0.00006970329,0.00000552426,0.0005214766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0138859,"threshold_uncertainty_score":0.07343656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04127222122973432,"score_gpt":0.3737564440341323,"score_spread":0.3324842228043979,"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."}}