{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0130585,0.0006643988,0.0007652565,0.001356685,0.0007027525,0.001016436,0.0006456,0.0008224424,0.0009685571],"category_scores_gemma":[0.02890064,0.0005116565,0.001017623,0.0006095736,0.0005633348,0.001309237,0.001314316,0.0005828197,0.0003041879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005359632,"about_ca_system_score_gemma":0.001552927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431131,"about_ca_topic_score_gemma":0.002916087,"domain_scores_codex":[0.995437,0.002280315,0.0006246915,0.0003686736,0.0009722505,0.0003171116],"domain_scores_gemma":[0.9821033,0.01177387,0.0006558375,0.000820256,0.00393908,0.0007076027],"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":[0.002830038,0.02304606,0.2214429,0.009597833,0.0006492448,0.005172051,0.1181003,0.001826023,0.02890433,0.0007885853,0.008205756,0.5794368],"study_design_scores_gemma":[0.002793116,0.09727918,0.740544,0.004545161,0.001852306,0.008687445,0.0501384,0.01321262,0.01965873,0.000799734,0.05990673,0.0005826456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888293,0.0003748845,0.003679393,0.0001711081,0.00003823746,0.005359398,0.000207332,0.0001063754,0.001233926],"genre_scores_gemma":[0.9330042,0.001502225,0.05165732,0.0005061345,0.00006433728,0.01050159,0.0006342397,0.0001057262,0.002024227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0130585,"threshold_uncertainty_score":0.06906074,"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."}}