{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009146249,0.0008268715,0.001015844,0.0014704,0.001508035,0.0007407086,0.0006988837,0.0004842943,0.005452591],"category_scores_gemma":[0.01346321,0.0005249117,0.001332806,0.001720856,0.0007625162,0.0007026862,0.001011393,0.001267442,0.001270081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442674,"about_ca_system_score_gemma":0.006211156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01063754,"about_ca_topic_score_gemma":0.01569853,"domain_scores_codex":[0.9947798,0.001445625,0.001298064,0.0004702079,0.001648178,0.0003582414],"domain_scores_gemma":[0.9925074,0.001709875,0.0004770723,0.0004432707,0.0046316,0.0002308031],"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":[0.001635937,0.004360021,0.3086247,0.00800507,0.0005895016,0.003332627,0.05865933,0.001196675,0.01915526,0.003523405,0.05298566,0.5379319],"study_design_scores_gemma":[0.001332792,0.004437526,0.8805546,0.001643992,0.000711554,0.002649325,0.01014591,0.003281539,0.005994492,0.001056302,0.08786676,0.0003253393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9362074,0.002188878,0.0140725,0.002143851,0.0006330385,0.02091912,0.005509281,0.0002202091,0.01810573],"genre_scores_gemma":[0.8506173,0.00443657,0.06228968,0.002545143,0.000307023,0.05723478,0.008993858,0.0002242591,0.01335137],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01063754,"threshold_uncertainty_score":0.04837054,"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."}}