{"id":"W4210342524","doi":"10.2196/preprints.10465","title":"User Preferences and Persona Design for an mHealth Intervention to Support Adherence to Cardiovascular Disease Medication in Singapore: A Multi-Method Study (Preprint)","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Persona Design and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"mHealth; Persona; Usability; Psychological intervention; Medicine; Health care; Internet privacy; Population; World Wide Web; Psychology; Computer science; Family medicine; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.02511251,0.0006526206,0.0007605815,0.001032845,0.002638416,0.002211032,0.0009269954,0.000962202,0.003149374],"category_scores_gemma":[0.01949871,0.0006852461,0.001387122,0.001001212,0.001202351,0.001675859,0.00213664,0.001016034,0.0005296536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226037,"about_ca_system_score_gemma":0.003356459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003025533,"about_ca_topic_score_gemma":0.005994176,"domain_scores_codex":[0.9876913,0.009141935,0.001068144,0.0006586469,0.0008712516,0.0005686681],"domain_scores_gemma":[0.9885872,0.006507861,0.001139158,0.0009060514,0.002081465,0.0007783949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001366233,0.01788971,0.158185,0.001677589,0.0002775039,0.0007360916,0.6882861,0.0003943095,0.004918058,0.001029533,0.001693995,0.1235458],"study_design_scores_gemma":[0.001368387,0.037544,0.3501388,0.0008634852,0.0003992686,0.0005752466,0.5847509,0.003879167,0.0052522,0.001162366,0.0137363,0.000329905],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944497,0.00004592785,0.002271345,0.0001130321,0.00001487036,0.00243635,0.00008137945,0.0000116594,0.0005758021],"genre_scores_gemma":[0.9683871,0.0001782681,0.01697033,0.0002671345,0.00001807777,0.01255899,0.0001541555,0.00001732598,0.001448502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02511251,"threshold_uncertainty_score":0.1328092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1816011082025629,"score_gpt":0.409210711083553,"score_spread":0.2276096028809901,"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."}}