{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02923662,0.00074891,0.0008726303,0.001644911,0.003067264,0.002250118,0.001089755,0.001025841,0.003309019],"category_scores_gemma":[0.02241781,0.0006762404,0.001489546,0.001348263,0.0014781,0.001601631,0.002491948,0.001100206,0.0005274742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002653857,"about_ca_system_score_gemma":0.003202097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002884096,"about_ca_topic_score_gemma":0.006539231,"domain_scores_codex":[0.9838536,0.01236047,0.001199966,0.0008024044,0.00109154,0.00069209],"domain_scores_gemma":[0.9862338,0.007510752,0.001305438,0.001254776,0.002831526,0.0008636182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001537781,0.01643154,0.1504482,0.001725399,0.0002751001,0.001051705,0.6811071,0.0005735468,0.006011126,0.001674284,0.001227133,0.137937],"study_design_scores_gemma":[0.001296825,0.03310331,0.3015384,0.000890779,0.0004175893,0.0007867803,0.6291654,0.007614319,0.006500856,0.001946269,0.01636751,0.0003720966],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911117,0.00005162603,0.004125343,0.0001103185,0.00001366459,0.00361801,0.0001017182,0.00001597172,0.00085157],"genre_scores_gemma":[0.9569806,0.0001791006,0.02647551,0.0001957398,0.00001581185,0.01442287,0.0001727627,0.00002059554,0.001536888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02923662,"threshold_uncertainty_score":0.1546199,"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."}}