{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354603,0.0002493623,0.0002378673,0.000158233,0.0006641129,0.0001469356,0.0004092574,0.00002837861,0.000004791651],"category_scores_gemma":[0.000003284867,0.0001842374,0.00002649622,0.0003743782,0.00004699437,0.0002794859,0.0001416184,0.00009022581,0.000001204001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002781342,"about_ca_system_score_gemma":0.0001318804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001007536,"about_ca_topic_score_gemma":0.00005645914,"domain_scores_codex":[0.9983962,0.0001387625,0.0002616641,0.0006046107,0.0002736319,0.000325199],"domain_scores_gemma":[0.9991824,0.0000974201,0.0001511308,0.0002281291,0.0002301574,0.0001107722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007209124,0.001976863,0.1547372,0.0002742487,0.000441772,7.691735e-7,0.8089847,0.00003013136,0.00004117931,0.005659523,0.001437055,0.02634452],"study_design_scores_gemma":[0.002178299,0.000569725,0.9374776,0.0001937925,0.00002047749,1.41119e-7,0.058182,0.0004710818,0.00003801006,0.000306887,0.0001548536,0.0004071507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8385313,0.00005328286,0.1564712,0.00006407731,0.00003638064,0.004674742,0.00003706509,0.00009633815,0.00003553324],"genre_scores_gemma":[0.9800395,0.000004121756,0.01388334,0.00010057,0.000007357136,0.005674195,0.00002152226,0.00001164662,0.0002577609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7827404,"threshold_uncertainty_score":0.7512985,"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."}}