{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02997358,0.0007277324,0.001173908,0.001921467,0.0008077999,0.0008810981,0.0006579292,0.0008344917,0.001825255],"category_scores_gemma":[0.05053341,0.000457358,0.002390864,0.001286768,0.0006391752,0.001091799,0.001284687,0.001320236,0.0004916741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009510004,"about_ca_system_score_gemma":0.002522817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114068,"about_ca_topic_score_gemma":0.002396962,"domain_scores_codex":[0.9817963,0.008068609,0.003862115,0.0006577242,0.005105752,0.0005095563],"domain_scores_gemma":[0.9636252,0.0159207,0.004089614,0.00215151,0.01329322,0.000919757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002671112,0.01249962,0.6238384,0.00385624,0.001415769,0.0004547469,0.0126836,0.002675152,0.009377927,0.001263256,0.01131232,0.3179519],"study_design_scores_gemma":[0.001400575,0.0165192,0.9464899,0.001430351,0.0006644595,0.000938436,0.003448639,0.007345757,0.005428173,0.0004270668,0.01574958,0.0001580061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336058,0.001297532,0.02340083,0.0003922766,0.0001845212,0.03044285,0.001783829,0.0002462289,0.008646162],"genre_scores_gemma":[0.8932247,0.00107022,0.05245675,0.0004162237,0.00007090342,0.04783339,0.002905054,0.00008184628,0.001940917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02997358,"threshold_uncertainty_score":0.1585174,"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."}}