{"id":"W2782452598","doi":"10.2196/mhealth.8851","title":"Health Information Technology Usability Evaluation Scale (Health-ITUES) for Usability Assessment of Mobile Health Technology: Validation Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":264,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Usability; mHealth; System usability scale; Cronbach's alpha; Digital health; Mobile technology; Scale (ratio); Psychological intervention; Mobile device; Computer science; Heuristic evaluation; Medicine; Health care; World Wide Web; Psychometrics; Nursing; Human–computer interaction; 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.02531364,0.0006619483,0.002278879,0.001723434,0.005526438,0.0000303519,0.000608197,0.0007528032,0.0001550075],"category_scores_gemma":[0.0008468841,0.0006490115,0.0001361712,0.00303488,0.0008438995,0.0006696493,0.0002873562,0.001588503,0.00006103942],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004177358,"about_ca_system_score_gemma":0.02469373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137204,"about_ca_topic_score_gemma":0.00381904,"domain_scores_codex":[0.9844211,0.00311454,0.006667414,0.001544346,0.001276416,0.002976201],"domain_scores_gemma":[0.9870511,0.0007846773,0.00556295,0.002053088,0.002680443,0.001867733],"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":[0.0003281432,0.001942263,0.2982613,0.01359957,0.00003005735,4.618563e-8,0.006111356,0.00001673769,0.000006068445,0.009190369,0.007532422,0.6629817],"study_design_scores_gemma":[0.01549081,0.03695296,0.7024186,0.001223293,0.000150331,0.00001586191,0.05278704,0.007517941,0.00002922054,0.01520154,0.1671499,0.001062526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.80196,0.002234187,0.01497254,0.06442145,0.001583556,0.1126154,0.00087924,0.0008711178,0.0004625139],"genre_scores_gemma":[0.8868704,0.00136944,0.01265397,0.006059592,0.0004261525,0.09187608,0.0006440896,0.00006609512,0.00003415098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6619192,"threshold_uncertainty_score":0.9996454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09114779364666377,"score_gpt":0.5377377175482898,"score_spread":0.4465899239016261,"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."}}