{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002780921,0.0005577059,0.0006126956,0.0004769335,0.0002620191,0.0005929687,0.0004840924,0.0004918069,0.001438634],"category_scores_gemma":[0.005440493,0.0002151442,0.0006587812,0.0001869213,0.0002950184,0.0005879211,0.000798607,0.0003014659,0.0001689641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001875868,"about_ca_system_score_gemma":0.0003599011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005030013,"about_ca_topic_score_gemma":0.00111201,"domain_scores_codex":[0.9991016,0.0004632575,0.0001078572,0.000121582,0.0001328505,0.000072813],"domain_scores_gemma":[0.9982667,0.001088807,0.0001228711,0.000131311,0.0001997149,0.0001905616],"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":[0.01677173,0.0466336,0.121473,0.008045762,0.001343963,0.002844933,0.06580883,0.002840579,0.1034902,0.000619963,0.003082407,0.6270452],"study_design_scores_gemma":[0.008513145,0.3776539,0.5061267,0.0008314626,0.002150275,0.004747207,0.0285042,0.01412352,0.03196304,0.0008239825,0.02407934,0.0004832334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981786,0.00009390746,0.001152751,0.00001945445,0.000007209324,0.0002468141,0.00004969422,0.00002510752,0.0002264564],"genre_scores_gemma":[0.9857972,0.0002915529,0.01160206,0.00009165184,0.00002513242,0.001217833,0.0001395108,0.00001477019,0.0008202587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002780921,"threshold_uncertainty_score":0.01470703,"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."}}