{"id":"W4416072703","doi":"10.2196/76489","title":"A Hybrid Rule- and Large Language Model–Based Embodied Voice Assistant (GRACE) for Cognitive Stimulation in Older Adults: Usability Study Assessing Technical Feasibility, Technology Acceptance, and Working Alliance","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"AI in Service Interactions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embodied cognition; Usability; Cognition; Psychological intervention; Alliance; Cognitive ergonomics; Intervention (counseling); Set (abstract data type)","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":[],"consensus_categories":[],"category_scores_codex":[0.0007001862,0.0002035881,0.00030079,0.0002829004,0.0002607898,0.0002910405,0.0003590651,0.00009102599,0.000001923196],"category_scores_gemma":[0.0003171666,0.0002130605,0.00003952149,0.0007009482,0.0000791298,0.0007484226,0.0004468462,0.0003838553,5.295503e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002424525,"about_ca_system_score_gemma":0.00008978638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002000706,"about_ca_topic_score_gemma":0.0005608203,"domain_scores_codex":[0.9980546,0.0001114405,0.000420858,0.0008764599,0.0001770524,0.000359641],"domain_scores_gemma":[0.9983864,0.0007722461,0.000153855,0.0004687728,0.0001734748,0.00004525135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001234198,0.001245415,0.9487408,0.0002389055,0.00002328588,0.00002133806,0.002603331,0.0003910385,0.0003802869,0.0007742373,0.0000133449,0.04544461],"study_design_scores_gemma":[0.002019237,0.00003677201,0.3578343,0.0008445265,0.00001859859,0.000003023806,0.002838502,0.6340454,0.0001658871,0.00200237,0.000007652619,0.0001837246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5730394,0.0001089985,0.424789,0.000467303,0.00004627917,0.001281656,0.000006305339,0.0001606771,0.0001004094],"genre_scores_gemma":[0.9594339,0.000001461503,0.03980106,0.0002455619,0.00001194725,0.0004746683,0.000005189386,0.00001186322,0.0000143983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6336544,"threshold_uncertainty_score":0.8688354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248200921755016,"score_gpt":0.3695064738721699,"score_spread":0.3470244646546197,"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."}}