{"id":"W4413679102","doi":"10.2196/71448","title":"Symptom Management Preference and Persona Development for Mobile Health Design Targeting Chinese Older Adult Patients With Breast Cancer: Descriptive Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Persona Design and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"mHealth; Persona; Preference; Breast cancer; Medicine; Population; Telemedicine; Qualitative research; Health care; Psychology; Nursing; Cancer; Psychological intervention; Computer science; Environmental health","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":[0.008206964,0.0003962895,0.0006025749,0.001020258,0.004334376,0.001411035,0.001028881,0.0007152474,0.002220556],"category_scores_gemma":[0.0105009,0.0003662149,0.0004977579,0.001148929,0.00285728,0.001840278,0.00232076,0.001194438,0.0001703584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004089975,"about_ca_system_score_gemma":0.005004311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008149701,"about_ca_topic_score_gemma":0.01427641,"domain_scores_codex":[0.9956755,0.002903879,0.0002140006,0.0002928962,0.0003809835,0.0005326659],"domain_scores_gemma":[0.9936571,0.004318076,0.0005107043,0.0002046019,0.0007639144,0.0005457056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004585718,0.0001122087,0.008859019,0.0005699749,0.000008653605,0.0006849425,0.9731308,0.00005008889,0.001383327,0.0009259162,0.0006190703,0.01361031],"study_design_scores_gemma":[0.00001145582,0.0001263961,0.005544812,0.0002815042,0.00001455609,0.0003175704,0.9855819,0.0002805231,0.0005015575,0.0003018041,0.00701368,0.00002432987],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932714,0.0004500213,0.002967403,0.0009142571,0.00002476676,0.0005503088,0.0001577248,0.00001501185,0.001649123],"genre_scores_gemma":[0.9928541,0.0006036237,0.003585423,0.0006105323,0.000009934501,0.0009464274,0.00009209214,0.00001322698,0.001284804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008206964,"threshold_uncertainty_score":0.04340309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03509129122866121,"score_gpt":0.3319611352368417,"score_spread":0.2968698440081805,"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."}}