{"id":"W4398191021","doi":"10.2196/54101","title":"Insights Into the Use of a Digital Healthy Aging Coach (AGATHA) for Older Adults From Malaysia: App Engagement, Usability, and Impact Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Health Organization","keywords":"Agatha; Usability; Psychology; Focus group; Digital health; Session (web analytics); Medical education; Applied psychology; Medicine; Computer science; Health care; World Wide Web; Sociology","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":[0.00415897,0.0005416235,0.0004913824,0.0009529304,0.002010349,0.002215926,0.0006473205,0.0008054441,0.00188613],"category_scores_gemma":[0.007604519,0.0003564356,0.0005899132,0.0004388158,0.001059665,0.002177127,0.002555759,0.00120016,0.0003929909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008056621,"about_ca_system_score_gemma":0.001591102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003158139,"about_ca_topic_score_gemma":0.009997931,"domain_scores_codex":[0.9978513,0.001187877,0.000131006,0.000154409,0.0003433106,0.0003322043],"domain_scores_gemma":[0.996165,0.002055528,0.0004847871,0.0001202969,0.0006090528,0.0005653624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001888623,0.0009198057,0.1030939,0.001371525,0.00005312632,0.002791026,0.8177775,0.00007687305,0.004730486,0.0003748316,0.002104035,0.06651793],"study_design_scores_gemma":[0.00002337934,0.001528418,0.1200508,0.001147068,0.0001165668,0.002936441,0.8528615,0.0005176712,0.001573979,0.000198461,0.01895957,0.00008614484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966152,0.0003862714,0.0003695589,0.0003491174,0.00001435456,0.00009962482,0.00005191547,0.00001101197,0.002102806],"genre_scores_gemma":[0.9950829,0.0009495394,0.001388843,0.0004428956,0.00001335744,0.000141402,0.00005386463,0.00001353039,0.001913805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00415897,"threshold_uncertainty_score":0.02199501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0936245208564379,"score_gpt":0.4433102693965452,"score_spread":0.3496857485401073,"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."}}