{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007388213,0.0002908255,0.0003685879,0.001306033,0.003486955,0.001936107,0.001117127,0.0004465241,0.002168954],"category_scores_gemma":[0.003614672,0.0002529732,0.0006371997,0.004242272,0.0008286266,0.0006754285,0.001949965,0.001317278,0.000149035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05894767,"about_ca_system_score_gemma":0.06820303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974788,"about_ca_topic_score_gemma":0.9989998,"domain_scores_codex":[0.9987197,0.00009582688,0.00007084197,0.0001149192,0.0003538456,0.0006449678],"domain_scores_gemma":[0.996635,0.0001526866,0.0006709938,0.00006103123,0.001325169,0.001155065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009491156,0.00006139714,0.9814372,0.00008856563,0.00009976067,0.000153438,0.001901624,0.0003481089,0.0001031939,0.000298251,0.004588678,0.01082474],"study_design_scores_gemma":[0.000006770719,0.0000164987,0.9942577,0.00009745982,0.00002923315,0.0000387982,0.003783738,0.0002547759,0.00004064013,0.00003854892,0.001421967,0.00001377018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805249,0.002471702,0.0001295248,0.003462033,0.00005834168,0.00006707002,0.008023121,0.00001625448,0.005247057],"genre_scores_gemma":[0.9955043,0.001403073,0.0001727735,0.0005127396,0.00001389081,0.00001857036,0.001662206,0.000006236372,0.0007062349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05894767,"threshold_uncertainty_score":0.4276973,"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."}}