{"id":"W3093389474","doi":"10.1177/2333721420962669","title":"Maintaining Resident Social Connections During COVID-19: Considerations for Long-Term Care","year":2020,"lang":"en","type":"article","venue":"Gerontology and Geriatric Medicine","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"CapitalCare Foundation","funders":"","keywords":"Long-term care; Pandemic; Coronavirus disease 2019 (COVID-19); Phone; 2019-20 coronavirus outbreak; Gerontology; Public health; Business; Window of opportunity; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Infection control; Medical emergency; Environmental health; Nursing; Infectious disease (medical specialty); Disease; Intensive care medicine; Computer science; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007676906,0.0004788682,0.0004855657,0.0004967561,0.01776849,0.006925977,0.003016154,0.003220504,0.005453326],"category_scores_gemma":[0.01251306,0.0003311135,0.0006275654,0.0004305015,0.0040241,0.003606091,0.009228189,0.004433479,0.0009259956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005376067,"about_ca_system_score_gemma":0.02669071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04449958,"about_ca_topic_score_gemma":0.1769973,"domain_scores_codex":[0.9925004,0.004370969,0.000213977,0.0002303281,0.001037303,0.001647049],"domain_scores_gemma":[0.9881187,0.001606965,0.00088357,0.0003008306,0.001703618,0.00738631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001600882,0.001116668,0.04529467,0.00159463,0.00009899226,0.008249431,0.2991346,0.0005104895,0.00316319,0.006816505,0.1009383,0.5329224],"study_design_scores_gemma":[0.00003527158,0.0009543626,0.04753831,0.002363408,0.00006698786,0.00275642,0.7246557,0.000367895,0.0004608535,0.004528607,0.2161351,0.0001370648],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4478156,0.01788663,0.01319266,0.4413255,0.004123244,0.0009190615,0.0001308253,0.0005939513,0.07401258],"genre_scores_gemma":[0.9180247,0.01334167,0.0247064,0.02812684,0.001206702,0.0008218758,0.00009260783,0.0001065442,0.01357274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04449958,"threshold_uncertainty_score":0.08848113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154944236946501,"score_gpt":0.4325288142922531,"score_spread":0.317034390597603,"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."}}