{"id":"W4312000471","doi":"10.12927/hcq.2022.26981","title":"Lessons from Long-Term Care Home Partners during the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Preparedness; Long-term care; Coronavirus disease 2019 (COVID-19); Health care; Business; Nursing; Quality (philosophy); Best practice; 2019-20 coronavirus outbreak; Term (time); Outbreak; Medicine; Medical emergency; Public relations; Economic growth; Political science; Virology; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01603511,0.0005161096,0.0007211167,0.0004460952,0.01370556,0.0070875,0.002607497,0.009388421,0.006643249],"category_scores_gemma":[0.03059798,0.0006106913,0.0006610129,0.0006703464,0.004777779,0.007623882,0.009023301,0.01238283,0.001202084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007494106,"about_ca_system_score_gemma":0.02618111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0804244,"about_ca_topic_score_gemma":0.2612999,"domain_scores_codex":[0.9889048,0.007183493,0.0002364304,0.0003714224,0.00108476,0.002218917],"domain_scores_gemma":[0.9795628,0.004887089,0.0006218639,0.0005369119,0.003942741,0.01044875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002247409,0.0005618494,0.01419381,0.0006809321,0.00005219061,0.005295833,0.2378525,0.0003804981,0.0003103813,0.009096213,0.5944779,0.1368731],"study_design_scores_gemma":[0.0001044693,0.000515268,0.006620792,0.002543695,0.00004210465,0.001622265,0.5944155,0.0002820455,0.0002680619,0.008939373,0.3845342,0.0001121742],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06982177,0.009347698,0.00081818,0.8894243,0.005628662,0.0000756974,0.000114652,0.00007613839,0.02469284],"genre_scores_gemma":[0.6129728,0.02125649,0.003513851,0.332309,0.0039188,0.0002636859,0.0002088238,0.0002107408,0.02534584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0804244,"threshold_uncertainty_score":0.1599125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0940078426500979,"score_gpt":0.4509567899625985,"score_spread":0.3569489473125006,"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."}}