{"id":"W4312000512","doi":"10.12927/hcq.2022.26985","title":"Lessons from the COVID-19 Pandemic for Long-Term Care: Where Do We Go Next?","year":2022,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Term (time); Best practice; Medicine; Nursing; Medical emergency; Political science; Virology; Infectious disease (medical specialty); Outbreak","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":[0.01187494,0.0007454853,0.0009682153,0.001124541,0.01657335,0.01212474,0.002718785,0.01723469,0.01409629],"category_scores_gemma":[0.02916361,0.0005044256,0.001025251,0.0009660021,0.01239872,0.01726022,0.007598041,0.0374298,0.003017657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01397562,"about_ca_system_score_gemma":0.05047805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1352965,"about_ca_topic_score_gemma":0.3375916,"domain_scores_codex":[0.9931563,0.003040947,0.0002423916,0.0003650181,0.001199298,0.001996117],"domain_scores_gemma":[0.9745841,0.006085834,0.0006048692,0.0004363361,0.00406194,0.01422689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004542199,0.0000900454,0.001211281,0.0002552305,0.00001420992,0.0005239,0.01024636,0.00009209246,0.00008004505,0.02031433,0.9241678,0.04295917],"study_design_scores_gemma":[0.00005558985,0.0001259032,0.003887684,0.002817815,0.00003108925,0.0008946594,0.09885483,0.000188606,0.0001151448,0.05830796,0.8345568,0.0001639097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000765599,0.008961021,0.0001142989,0.9827708,0.004118904,0.00000385958,0.00002184665,0.0000122253,0.003231533],"genre_scores_gemma":[0.072279,0.05696001,0.001336329,0.8431078,0.01186887,0.00006263454,0.0001108753,0.0001092646,0.01416526],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1352965,"threshold_uncertainty_score":0.269018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180628565339897,"score_gpt":0.4460271332741009,"score_spread":0.3279642767401113,"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."}}