{"id":"W4229454072","doi":"10.2196/35065","title":"A Mobile App for Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus: Development and Usability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian e-Health Research Centre; University of New South Wales; Commonwealth Scientific and Industrial Research Organisation","keywords":"Usability; Behavior change; System usability scale; Thematic analysis; Psychological intervention; Applied psychology; Population; Medicine; Computer science; Gerontology; Psychology; Web usability; Qualitative research; Nursing; Human–computer interaction; Environmental health; Social psychology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001061235,0.0001256347,0.0003283798,0.00009014848,0.001593776,0.000004365329,0.00009514257,0.00004327252,0.00009982953],"category_scores_gemma":[0.00005368668,0.0001177467,0.00006481454,0.0001545362,0.00004930723,0.0000460547,0.0001708589,0.0002103472,0.000001647436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001407258,"about_ca_system_score_gemma":0.0002979592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006155186,"about_ca_topic_score_gemma":0.00003047723,"domain_scores_codex":[0.9980971,0.0003869348,0.0005457424,0.0003755931,0.0002613702,0.0003333235],"domain_scores_gemma":[0.9988342,0.0001980997,0.000178949,0.000386491,0.0001025388,0.0002997216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001380569,0.001330406,0.940075,0.003521231,0.0002626851,2.91609e-7,0.01702521,0.00003172364,0.00004347526,0.0006685145,0.0009962561,0.03590713],"study_design_scores_gemma":[0.001416391,0.0008881318,0.6457086,0.00003419728,0.0001331772,4.20184e-8,0.00852912,0.00002269197,0.00002108154,0.000741233,0.3423425,0.0001628654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840537,0.002747805,0.00002617388,0.00001476634,0.0001067294,0.01289686,0.00006683415,0.00004825738,0.00003884673],"genre_scores_gemma":[0.9547775,0.00006308148,0.0001019251,0.00003607322,0.00003371691,0.04464117,0.0001134924,0.00001737037,0.0002156893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3413463,"threshold_uncertainty_score":0.999706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0619536265440073,"score_gpt":0.4077874999132397,"score_spread":0.3458338733692324,"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."}}