{"id":"W3209037253","doi":"10.12927/hcq.2021.26625","title":"The Impact of the COVID-19 Pandemic in Long-Term Care in Canada","year":2021,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Health Information","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Long-term care; Medicine; Depression (economics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health care; Demography; Family medicine; Gerontology; Nursing; Outbreak; Economic growth; Virology; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004523022,0.0001551825,0.0003421007,0.00006644968,0.0004705169,0.000008436895,0.0002818047,0.000153562,0.00007602257],"category_scores_gemma":[0.0001534585,0.00009399265,0.0001167216,0.0006702387,0.00004565647,0.00003886601,0.00003231722,0.000812386,0.000004955436],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005479801,"about_ca_system_score_gemma":0.03579548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9823021,"about_ca_topic_score_gemma":0.9994152,"domain_scores_codex":[0.9965142,0.00152527,0.0007157631,0.0002619801,0.0002953304,0.0006874307],"domain_scores_gemma":[0.9978102,0.0008885032,0.000236277,0.0006267433,0.0002126182,0.0002257006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007416925,0.00001225396,0.9469538,0.0004286454,0.00000682777,0.0000407249,0.02957255,0.000008266263,0.00001133262,0.00003692294,0.002874762,0.01997974],"study_design_scores_gemma":[0.0007450192,0.0001415456,0.9302106,0.0002202047,0.000004469202,0.0000138645,0.06763958,0.00000384009,0.000001790211,0.0001508798,0.0007772211,0.00009094015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789498,0.006916466,0.000002612649,0.0118671,0.001313058,0.0006743938,0.00009184684,0.00001594225,0.0001687653],"genre_scores_gemma":[0.9985386,0.000201503,0.000002738906,0.0008897169,0.0001095965,0.00006612611,0.00003234965,0.00001723904,0.0001421358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03806703,"threshold_uncertainty_score":0.998338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04405960771821221,"score_gpt":0.4196657203204439,"score_spread":0.3756061126022316,"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."}}