{"id":"W4395082423","doi":"10.2196/52317","title":"Adoption and Use of Telemedicine and Digital Health Services Among Older Adults in Light of the COVID-19 Pandemic: Repeated Cross-Sectional Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Clalit Health Services","keywords":"Telehealth; Pandemic; Telemedicine; Telecare; Coronavirus disease 2019 (COVID-19); Population; Medicine; Family medicine; Health care; Gerontology; Environmental health; Political science; 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":[0.00168321,0.0002114172,0.0003152093,0.001094247,0.0003224808,0.0006671708,0.0003579604,0.0005436292,0.0009017315],"category_scores_gemma":[0.002872049,0.0002813841,0.0007898388,0.001104472,0.0002582993,0.0007052362,0.0006468312,0.000641616,0.0002172124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527316,"about_ca_system_score_gemma":0.000267716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006641443,"about_ca_topic_score_gemma":0.008746451,"domain_scores_codex":[0.9992033,0.0002545114,0.0001569067,0.0001329172,0.0001454043,0.0001069851],"domain_scores_gemma":[0.9970232,0.00061257,0.001354097,0.0002420116,0.000454626,0.0003134964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002883985,0.00002682275,0.9992796,0.000006387254,0.00003691524,0.000008078959,0.0001566971,0.00001125031,0.00004649847,0.000003134499,0.00002398289,0.0003720326],"study_design_scores_gemma":[0.00000143537,0.00005407247,0.999398,0.000003761877,0.000009978925,0.00002559931,0.0003830921,0.00005290458,0.00002069277,0.000002250417,0.00004658454,0.000001667076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990706,0.00008804808,0.00004726918,0.00001736121,0.000002701715,0.00002138551,0.0005257037,0.000001431094,0.0002254904],"genre_scores_gemma":[0.9991248,0.00006642732,0.00006876031,0.0000218086,0.000005051036,0.00003172988,0.0005724223,0.000001111264,0.0001079509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006641443,"threshold_uncertainty_score":0.01320559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03096977403706011,"score_gpt":0.3777697716469725,"score_spread":0.3467999976099123,"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."}}