{"id":"W4401820561","doi":"10.3233/shti240445","title":"An Iterative Approach to Usability Evaluation: A Workplace Wellness Mobile Application Example","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Douglas College","funders":"","keywords":"Usability; Vendor; Computer science; Usability lab; Heuristic evaluation; Pluralistic walkthrough; Mobile apps; Mobile phone; Web usability; Cognitive walkthrough; System usability scale; World Wide Web; Phone; Usability engineering; Internet privacy; Human–computer interaction; Business; Telecommunications; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07752458,0.002178336,0.001286046,0.006033891,0.007349217,0.007805179,0.004504378,0.003540008,0.002715973],"category_scores_gemma":[0.08273447,0.00145011,0.001728642,0.002816115,0.006407035,0.006095274,0.009617415,0.003123278,0.001334374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004911542,"about_ca_system_score_gemma":0.007783765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003024426,"about_ca_topic_score_gemma":0.00695831,"domain_scores_codex":[0.823053,0.1544597,0.004111775,0.002685274,0.01289376,0.002796577],"domain_scores_gemma":[0.8693623,0.09499577,0.002306506,0.00728737,0.02420959,0.001838423],"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":[0.0005673313,0.004235707,0.01209443,0.003922325,0.0002566522,0.003117542,0.4160914,0.003357128,0.02416323,0.03915587,0.006666165,0.4863722],"study_design_scores_gemma":[0.001176276,0.01535706,0.02671348,0.01125089,0.0007937683,0.00795659,0.4955242,0.05285658,0.06481955,0.08388998,0.2384614,0.001200302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2331867,0.001653785,0.6997108,0.004878371,0.0002131448,0.01535367,0.0001313208,0.001160317,0.04371183],"genre_scores_gemma":[0.2567217,0.0006130471,0.7311196,0.0004955395,0.00003034146,0.00600855,0.00008979724,0.0002172985,0.004704113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07752458,"threshold_uncertainty_score":0.4099941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025353321499411,"score_gpt":0.4981812208207073,"score_spread":0.3956458886707662,"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."}}