{"id":"W4200512533","doi":"10.2196/33498","title":"Using Smart Speaker Technology for Health and Well-being in an Older Adult Population: Pre-Post Feasibility Study","year":2021,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health; Harvard T.H. Chan School of Public Health","keywords":"Psychology; Population; Medicine; Perception; Gerontology; Applied 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007284745,0.0001344407,0.0002674102,0.0002488381,0.0005586839,0.00006904609,0.0001639431,0.0001687448,0.0000120004],"category_scores_gemma":[0.0003668156,0.0001521555,0.00003011433,0.000723741,0.0001334035,0.0004201617,0.0001214556,0.000239046,0.000001008691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910064,"about_ca_system_score_gemma":0.0001906987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001808196,"about_ca_topic_score_gemma":0.03718648,"domain_scores_codex":[0.9981859,0.0002464277,0.0003297867,0.0005208392,0.0001869932,0.0005299974],"domain_scores_gemma":[0.999194,0.00006576738,0.0001145699,0.0003385655,0.0001699131,0.0001171985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001071391,0.0002855818,0.9515828,0.00003834028,0.000006530364,0.000007252202,0.04230993,0.000003685083,0.0000577638,0.001726782,0.00001278367,0.003957852],"study_design_scores_gemma":[0.00112008,0.0001217824,0.912549,0.0001505991,0.000008898088,0.000008871835,0.08220708,0.0004083767,0.00007775673,0.002911604,0.0002106732,0.000225258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927753,0.0001024426,0.0002261564,0.004669802,0.0001619956,0.001642106,0.00000197983,0.0002658698,0.0001543204],"genre_scores_gemma":[0.9955576,0.000006531609,0.003787643,0.0004051024,0.00007990696,0.00007970328,0.000008708095,0.00001883213,0.0000559432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03989716,"threshold_uncertainty_score":0.9803824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03101919565604039,"score_gpt":0.3881778814236,"score_spread":0.3571586857675596,"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."}}