{"id":"W2889261711","doi":"10.2196/mhealth.9931","title":"An mHealth App for Users with Dexterity Impairments: Accessibility Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Chronic Disease Prevention and Health Promotion; National Institutes of Health; Craig H. Neilsen Foundation","keywords":"Usability; mHealth; Personalization; Computer science; Mobile apps; Human–computer interaction; Multimedia; World Wide Web; Medicine; Nursing; Psychological intervention","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":[0.002685009,0.000561798,0.0006444962,0.0009245471,0.0008129435,0.0006122502,0.0003562873,0.0007790141,0.002710788],"category_scores_gemma":[0.00983631,0.0003219171,0.0008419766,0.0003810846,0.0004341787,0.001123435,0.001049281,0.000610716,0.0003805177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912223,"about_ca_system_score_gemma":0.0005445622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055837,"about_ca_topic_score_gemma":0.001509492,"domain_scores_codex":[0.9987069,0.0004392432,0.0001822827,0.0001556823,0.0003430791,0.0001727768],"domain_scores_gemma":[0.993737,0.003135213,0.0006404642,0.0003380716,0.001666535,0.0004827931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008449593,0.06212282,0.4941787,0.008051216,0.0007394929,0.008975068,0.1235464,0.00085116,0.03253182,0.0006144966,0.002957857,0.2569814],"study_design_scores_gemma":[0.002085055,0.1184617,0.8084783,0.0006308843,0.0009705555,0.01051296,0.0323296,0.00269803,0.0120545,0.0003340873,0.01124182,0.0002026483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987342,0.0001031159,0.0003606547,0.00001849723,0.00000532733,0.0003761118,0.00003498291,0.000006147622,0.0003609862],"genre_scores_gemma":[0.9962089,0.000299298,0.001769124,0.0000972829,0.00002591358,0.0007990807,0.0001097608,0.000007065966,0.0006835115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002710788,"threshold_uncertainty_score":0.01419985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09828288121062209,"score_gpt":0.5203198397163087,"score_spread":0.4220369585056866,"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."}}