{"id":"W2903590035","doi":"10.2196/10465","title":"User Preferences and Persona Design for an mHealth Intervention to Support Adherence to Cardiovascular Disease Medication in Singapore: A Multi-Method Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Persona Design and Applications","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Singapore Population Health Improvement Centre; National University Health System","keywords":"mHealth; Persona; Intervention (counseling); Medication adherence; Medicine; eHealth; Disease; Psychology; Internet privacy; Family medicine; World Wide Web; Health care; Computer science; Psychological intervention; Nursing; Human–computer interaction; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003326432,0.0001954153,0.0003338494,0.0002596948,0.0003841419,0.0001163855,0.0004061686,0.0000626481,0.000003260571],"category_scores_gemma":[0.0000955627,0.0001817534,0.0000497369,0.0005231865,0.00004946802,0.0003531187,0.0001007266,0.0001314621,0.000008579966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125631,"about_ca_system_score_gemma":0.0005163613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261185,"about_ca_topic_score_gemma":0.0008983517,"domain_scores_codex":[0.9971491,0.0005605288,0.0004631192,0.0009737916,0.0003306538,0.0005228217],"domain_scores_gemma":[0.9977403,0.0001112049,0.0001253875,0.0005911683,0.0001396881,0.001292289],"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":[0.0003427178,0.001313124,0.008603745,0.0005679195,0.00002717771,0.000002626176,0.02861538,0.00002337685,0.00004034234,0.001878053,0.0009481268,0.9576374],"study_design_scores_gemma":[0.004687808,0.02313931,0.8608011,0.0002364924,0.000121929,0.00001548059,0.003992617,0.1000362,0.00003146898,0.001613325,0.004618194,0.0007060675],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3551275,0.000218732,0.6408139,0.0007692488,0.00008547677,0.002902654,0.00001531323,0.00006183617,0.000005421425],"genre_scores_gemma":[0.8176416,0.00006018952,0.1797192,0.001003637,0.00009400494,0.001423569,0.00001083005,0.00001212107,0.00003491528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9569314,"threshold_uncertainty_score":0.7411687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.205612716650165,"score_gpt":0.4538703792111051,"score_spread":0.2482576625609401,"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."}}