{"id":"W3175684749","doi":"10.1159/000516298","title":"COVID-19 Virtual Care for the Geriatric Population: Exploring Two Sides of the Coin","year":2021,"lang":"en","type":"review","venue":"Gerontology","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Telemedicine; Coronavirus disease 2019 (COVID-19); Pandemic; Health care; Intervention (counseling); Population; Population ageing; Nursing; Focus (optics); Geriatric care; Medicine; Medical emergency; Political science; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005716844,0.00083457,0.001817705,0.004265048,0.0007885976,0.003768769,0.00148094,0.002915507,0.005246897],"category_scores_gemma":[0.01269484,0.0004073074,0.001771054,0.00432369,0.001450262,0.004969863,0.002204575,0.003414614,0.0009718552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016166,"about_ca_system_score_gemma":0.008715804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004387595,"about_ca_topic_score_gemma":0.009697612,"domain_scores_codex":[0.9970388,0.001347588,0.0004448569,0.0001826793,0.0008048583,0.0001812034],"domain_scores_gemma":[0.9915966,0.006155624,0.0006174509,0.0001126941,0.001201721,0.0003159213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007640006,0.0000980234,0.0004443327,0.1057701,0.0002841179,0.0001440265,0.0007327558,0.0002253146,0.0001696211,0.01978262,0.02542585,0.8468468],"study_design_scores_gemma":[0.00004125591,0.0002359654,0.001968991,0.2457547,0.0007109246,0.001297547,0.001620736,0.0001719975,0.0001844182,0.00740028,0.7405576,0.00005549513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009862544,0.9966457,0.00007020307,0.002107697,0.0001731252,0.00001169591,0.00000899641,0.000002939039,0.0008809628],"genre_scores_gemma":[0.001061901,0.9976798,0.000185609,0.0007818054,0.0001191782,0.00001876618,0.000009368056,0.000001808036,0.0001418122],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005716844,"threshold_uncertainty_score":0.03023392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2699106739870908,"score_gpt":0.4740693859538999,"score_spread":0.2041587119668091,"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."}}