{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002590618,0.0003592153,0.000749143,0.0001308573,0.00231961,0.0000750168,0.0003298654,0.0002209946,0.000143836],"category_scores_gemma":[0.0003176518,0.0002924297,0.0000537725,0.0004577891,0.00007750682,0.0002473971,0.0002281913,0.0005429895,0.0000215449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006013873,"about_ca_system_score_gemma":0.001207326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007270372,"about_ca_topic_score_gemma":0.001290791,"domain_scores_codex":[0.9942192,0.001669867,0.001338817,0.001193591,0.0004408375,0.001137727],"domain_scores_gemma":[0.9955888,0.001033028,0.0005347053,0.00114644,0.0005571042,0.001139937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000178726,0.001331367,0.9880538,0.001669268,0.00003162458,0.000001364909,0.005072259,0.000003632764,0.0001029244,0.000138939,0.002501843,0.0009142429],"study_design_scores_gemma":[0.001736318,0.00125546,0.9748959,0.0002089318,0.0000363777,0.000001093415,0.007693492,0.0000118901,0.00007828552,0.0001390201,0.0136836,0.0002596271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623896,0.0001218531,0.006494451,0.0003644897,0.000296789,0.02975483,0.0003341307,0.0001800862,0.00006374921],"genre_scores_gemma":[0.9591799,0.00002380716,0.001168853,0.0007446974,0.0001381518,0.03811209,0.0001099876,0.00004675145,0.000475783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0131579,"threshold_uncertainty_score":0.9999528,"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."}}