{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008722345,0.0002145091,0.0006898648,0.0003817457,0.0001818754,0.00003749067,0.00006494886,0.0001779681,0.00003812008],"category_scores_gemma":[0.001099842,0.0001878903,0.00009507634,0.0006558037,0.0003179809,0.000179486,0.000161916,0.0002279032,3.852177e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501221,"about_ca_system_score_gemma":0.0001032974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006303441,"about_ca_topic_score_gemma":0.0000417785,"domain_scores_codex":[0.9980663,0.0002180862,0.0006678918,0.0005440306,0.0002744171,0.0002292778],"domain_scores_gemma":[0.9981484,0.0006567713,0.0002766456,0.0004637632,0.0003547741,0.00009964881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002279153,0.0006245823,0.911107,0.001116308,0.00008395153,0.000003557629,0.002502335,0.000004523137,0.08163399,0.0002100355,0.000006627269,0.002684312],"study_design_scores_gemma":[0.001562137,0.0005027981,0.9412329,0.0003780504,0.0001122818,0.00002948044,0.04655101,0.0001872042,0.009160722,0.00003705427,0.00008481366,0.0001616166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973145,0.0002301284,0.0008188114,0.00006920582,0.0002346241,0.001120548,0.000008437201,0.0001104528,0.00009326608],"genre_scores_gemma":[0.9581241,0.000002076874,0.04167388,0.000006767135,0.00002938127,0.00005693557,0.00000631541,0.00002620003,0.00007433705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07247327,"threshold_uncertainty_score":0.7661946,"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."}}