{"id":"W4396722030","doi":"10.2196/50759","title":"Technology Use Among Older Adults and Their Caregivers: Cross-Sectional Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cross-sectional study; Gerontology; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001761507,0.0002274524,0.0003742681,0.00102203,0.0005507667,0.0006657293,0.0002352737,0.0004252331,0.0009716626],"category_scores_gemma":[0.003678544,0.0003442545,0.0003532116,0.001273236,0.0002246608,0.0007689412,0.0006070429,0.0005439747,0.0003107642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091394,"about_ca_system_score_gemma":0.000531227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141569,"about_ca_topic_score_gemma":0.01526802,"domain_scores_codex":[0.9991259,0.000252783,0.0001977332,0.0001161306,0.0002046108,0.0001028414],"domain_scores_gemma":[0.9979888,0.0003875095,0.000828744,0.0001163234,0.0004082091,0.0002703885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001336731,0.00006087829,0.9981247,0.00002317357,0.00001783621,0.00003143381,0.0005701386,0.000007042659,0.00003947326,0.000008662774,0.0001258062,0.0009775158],"study_design_scores_gemma":[0.000004664778,0.0001470193,0.9962197,0.00003700961,0.00001555493,0.0001661944,0.002904714,0.0000710793,0.00003519821,0.00001231692,0.0003828269,0.000003700677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988701,0.0001839084,0.00008755727,0.00004967499,0.000003913969,0.00003475296,0.0005200141,0.000001953382,0.0002481325],"genre_scores_gemma":[0.998601,0.0003502682,0.0001724988,0.000110236,0.000007164695,0.00007852226,0.0005201356,0.000001180321,0.0001590397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141569,"threshold_uncertainty_score":0.02269846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359838203949995,"score_gpt":0.3223386554064755,"score_spread":0.2987402733669756,"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."}}