{"id":"W4414347766","doi":"10.2196/73844","title":"Assessing the User Experience of the EU Mobile App for Cancer Prevention: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Leibniz-Gemeinschaft; World Health Organization","keywords":"USable; Mobile apps; User experience design; mHealth; Digital health; Work (physics); User interface; Mobile device","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":[0.0172848,0.0007315138,0.001214648,0.001326041,0.001732819,0.002445078,0.0008245846,0.001092685,0.001885586],"category_scores_gemma":[0.01937844,0.0006588594,0.001270964,0.0007157298,0.001032573,0.001613274,0.002132232,0.0008238837,0.0005258592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008701722,"about_ca_system_score_gemma":0.001311191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160523,"about_ca_topic_score_gemma":0.002812503,"domain_scores_codex":[0.9910446,0.005592085,0.0008983734,0.0007840413,0.001100094,0.0005808203],"domain_scores_gemma":[0.9858056,0.008290112,0.001499489,0.000835177,0.00295787,0.0006117051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002707022,0.01251667,0.440014,0.003034277,0.0006460579,0.001768261,0.4106597,0.0003270955,0.004988332,0.0006271176,0.001765862,0.1209457],"study_design_scores_gemma":[0.0008101041,0.0367659,0.5178747,0.002145183,0.0007524625,0.002730381,0.4115319,0.002887694,0.005389672,0.0007602915,0.01800069,0.0003511416],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966716,0.0002200645,0.0009320517,0.00005499818,0.00001157325,0.001194028,0.0001194878,0.000008741468,0.0007875997],"genre_scores_gemma":[0.988744,0.0004446018,0.004588421,0.000349783,0.00002216638,0.004618359,0.0001513656,0.00001641832,0.001064814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0172848,"threshold_uncertainty_score":0.09141183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2341409179193714,"score_gpt":0.6932358830947759,"score_spread":0.4590949651754045,"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."}}