{"id":"W3048865380","doi":"10.2196/18079","title":"User-Centered Design Process of an mHealth App for Health Professionals: Case Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; User-centered design; Participatory design; Focus group; User experience design; Design process; Computer science; Information architecture; Human–computer interaction; Process (computing); Knowledge management; Multimedia; Information system; Engineering; Nursing; Medicine; Management information systems; Work in process; Psychological intervention","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":[0.005958795,0.0007136493,0.001958427,0.0003750918,0.004136687,0.00002181903,0.0005594615,0.000488986,0.00009748352],"category_scores_gemma":[0.0004277517,0.0006473797,0.0001263866,0.001139551,0.0001636103,0.0004196968,0.0001545448,0.001649472,0.00003213979],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004349961,"about_ca_system_score_gemma":0.01237213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703629,"about_ca_topic_score_gemma":0.0009524166,"domain_scores_codex":[0.9870608,0.003441686,0.004118189,0.001734406,0.000778538,0.00286641],"domain_scores_gemma":[0.9877874,0.001478623,0.002861757,0.001013728,0.0008185251,0.006040026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.01687248,0.0175073,0.06678592,0.2192008,0.0002112985,0.0002281867,0.2476486,0.000156001,0.00003463666,0.008808482,0.1190662,0.3034801],"study_design_scores_gemma":[0.0760482,0.07490189,0.07809372,0.003530508,0.0008317482,0.0009528789,0.5537359,0.03030377,0.00004546893,0.00319814,0.1744551,0.003902764],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8861898,0.001994653,0.01141473,0.04214584,0.0007414321,0.05592892,0.000764487,0.0007005348,0.0001196193],"genre_scores_gemma":[0.9190396,0.0007528559,0.007367197,0.04504127,0.0009982724,0.02629066,0.0002107276,0.0001805006,0.0001189181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3060873,"threshold_uncertainty_score":0.9995977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2153488700017131,"score_gpt":0.5454867021320878,"score_spread":0.3301378321303747,"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."}}