{"id":"W4391781962","doi":"10.2196/49462","title":"User-Friendly Chatbot to Mitigate the Psychological Stress of Older Adults During the COVID-19 Pandemic: Development and Usability Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chang Gung Medical Foundation; Chang Gung Memorial Hospital; National Taipei University of Technology; Ministry of Science and Technology, Taiwan; Clinical Trial Center, China Medical University Hospital","keywords":"Loneliness; Chatbot; Anxiety; Mental health; Social isolation; Pandemic; Medicine; Social distance; Psychology; Psychiatry; Coronavirus disease 2019 (COVID-19); World Wide Web; Disease","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":[0.005123449,0.0009183322,0.0007119865,0.001003164,0.0005715867,0.001228851,0.001019208,0.0007926607,0.002722562],"category_scores_gemma":[0.01258077,0.0003856033,0.0008709427,0.0003331886,0.0004397337,0.001600936,0.001392133,0.0006027897,0.0004799927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004092192,"about_ca_system_score_gemma":0.0007501246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008415487,"about_ca_topic_score_gemma":0.001690308,"domain_scores_codex":[0.998068,0.001147143,0.0001836996,0.0002165439,0.000212016,0.0001725671],"domain_scores_gemma":[0.9905116,0.006566471,0.0003258164,0.0004247664,0.001457957,0.0007134675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006281425,0.02993338,0.1119298,0.02201455,0.0008046372,0.005047912,0.08247279,0.003023198,0.06795368,0.001455692,0.02282479,0.6462582],"study_design_scores_gemma":[0.004516915,0.1118075,0.5444273,0.009000714,0.003816567,0.00977146,0.07301135,0.05697531,0.04550887,0.001945286,0.1379616,0.001257333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839101,0.0005775947,0.008095251,0.0001735647,0.00008050697,0.003900142,0.0003735796,0.0006663877,0.002223076],"genre_scores_gemma":[0.92006,0.001022006,0.06599833,0.0005392022,0.00008064569,0.006752198,0.0009343005,0.0001964581,0.004417026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005123449,"threshold_uncertainty_score":0.02709574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1401853712496651,"score_gpt":0.5329337705803566,"score_spread":0.3927483993306915,"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."}}