{"id":"W3189107383","doi":"10.2196/23794","title":"User-Centered Design to Enhance mHealth Systems for Individuals With Dexterity Impairments: Accessibility and Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; mHealth; Telehealth; Computer science; User interface; Human–computer interaction; User experience design; Psychological intervention; Heuristic evaluation; Applied psychology; Telemedicine; Health care; Psychology; Medicine; Nursing","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":[0.009375241,0.0006005132,0.0005659369,0.000928641,0.0004078232,0.0008693385,0.0004519329,0.0005136942,0.001310276],"category_scores_gemma":[0.01735734,0.0003036651,0.00118378,0.0003850912,0.0003944728,0.0008566938,0.0006723227,0.0003995479,0.000199586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003906525,"about_ca_system_score_gemma":0.0005384858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005397574,"about_ca_topic_score_gemma":0.0009338706,"domain_scores_codex":[0.9957405,0.002564651,0.0004006132,0.0002597107,0.0008427986,0.000191694],"domain_scores_gemma":[0.9855758,0.009271678,0.001080286,0.0006599004,0.003022076,0.0003902435],"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":[0.004459147,0.0210745,0.1387567,0.009576848,0.001096071,0.001452329,0.08637793,0.004653489,0.08132987,0.001663777,0.004443173,0.6451163],"study_design_scores_gemma":[0.00330104,0.1303793,0.6965504,0.002899376,0.002818013,0.004469061,0.02817351,0.03119904,0.06569093,0.001662046,0.03229125,0.0005658894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825669,0.0004740558,0.01432838,0.00008701697,0.00002666524,0.001193241,0.00005498836,0.0001065871,0.001162153],"genre_scores_gemma":[0.9310428,0.0005781209,0.06505498,0.0001729982,0.00004563995,0.001749325,0.0001348364,0.0000460881,0.001175308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009375241,"threshold_uncertainty_score":0.04958165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093576224260199,"score_gpt":0.493381662823547,"score_spread":0.3840240403975271,"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."}}