{"id":"W4285406489","doi":"10.12927/hcpol.2022.26855","title":"Lessons from Long-Term Care Facilities without COVID-19 Outbreaks","year":2022,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Montréal; McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Outbreak; Term (time); Pandemic; Long-term care; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health care; Nursing; Medical emergency; Medicine; Business; Virology; Economic growth; Pathology; Economics; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01056422,0.0007688628,0.0006581142,0.0006918939,0.02005886,0.005389337,0.004375942,0.005787205,0.002930082],"category_scores_gemma":[0.02271116,0.0004863817,0.0005972918,0.0009240892,0.008743318,0.005324111,0.007558972,0.004840625,0.0002369988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02313381,"about_ca_system_score_gemma":0.03662861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2162806,"about_ca_topic_score_gemma":0.4266365,"domain_scores_codex":[0.9886255,0.006599242,0.0003292006,0.0004242464,0.000861866,0.003159945],"domain_scores_gemma":[0.9838927,0.006535749,0.001915005,0.0005024359,0.002709611,0.004444532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001077484,0.0005013515,0.0282532,0.001026791,0.00003478119,0.016674,0.8862805,0.0003897143,0.00066094,0.003685805,0.02243103,0.03995412],"study_design_scores_gemma":[0.000009770819,0.0001434585,0.007408846,0.0005804271,0.00001111841,0.0009153307,0.9743097,0.00008640709,0.0001347367,0.0005772078,0.01579683,0.00002615627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8578186,0.004414065,0.00117101,0.1154764,0.0008023238,0.0002340963,0.0001095234,0.00004558982,0.01992844],"genre_scores_gemma":[0.9867225,0.002459412,0.000768945,0.007227374,0.0001349274,0.0000799752,0.00004415097,0.00001321513,0.002549557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2162806,"threshold_uncertainty_score":0.4300435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127115344818221,"score_gpt":0.4844548319722177,"score_spread":0.3717432974903956,"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."}}