{"id":"W4283833265","doi":"10.2196/37933","title":"Chinese Version of the Mobile Health App Usability Questionnaire: Translation, Adaptation, and Validation Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; mHealth; Reliability (semiconductor); Readability; Cronbach's alpha; Computer science; Chatbot; Test (biology); Applied psychology; Medical education; Psychology; Medicine; Multimedia; Psychological intervention; World Wide Web; Nursing; Human–computer interaction; Psychometrics; Clinical psychology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.008357837,0.0001192273,0.0002586616,0.000224647,0.005802575,0.00000799898,0.0002922329,0.00005948935,0.0002950705],"category_scores_gemma":[0.0002099341,0.00008809298,0.00004527125,0.001555707,0.0001834679,0.0002446751,0.0002974142,0.001241371,0.00002824008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006175212,"about_ca_system_score_gemma":0.001564668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001342979,"about_ca_topic_score_gemma":0.0003691813,"domain_scores_codex":[0.9911634,0.005934533,0.0009655616,0.0003040392,0.001100837,0.0005315705],"domain_scores_gemma":[0.9972523,0.0009690141,0.0004301556,0.0005246417,0.0005956211,0.0002282529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005555332,0.002634882,0.5871443,0.002551244,0.0000286538,2.142568e-7,0.2547672,0.0009704069,0.00006069518,0.004135862,0.01427235,0.1328786],"study_design_scores_gemma":[0.002372524,0.002160839,0.8791326,0.00009657115,0.000005687463,0.000001684847,0.06732941,0.00375017,0.000008228487,0.003178556,0.04183773,0.0001259657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763355,0.0004383888,0.000479743,0.003530071,0.0002913501,0.0181981,0.0001491483,0.00005904218,0.0005186438],"genre_scores_gemma":[0.9577617,0.000100325,0.00006385186,0.0001808296,0.00005050081,0.04162968,0.00006771956,0.00001410472,0.0001312764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2919883,"threshold_uncertainty_score":0.9954917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09947974107512303,"score_gpt":0.5216645289259908,"score_spread":0.4221847878508678,"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."}}