{"id":"W4377940050","doi":"10.1177/11786329231174745","title":"Long-Term Care Resident Health and Quality of Care During the COVID-19 Pandemic: A Synthesis Analysis of Canadian Institute for Health Information Data Tables","year":2023,"lang":"en","type":"article","venue":"Health Services Insights","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Dalhousie University; Winnipeg Regional Health Authority; Brock University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Pandemic; Medicine; Minimum Data Set; Long-term care; Health care; Fiscal year; Health services research; Environmental health; Coronavirus disease 2019 (COVID-19); Demography; Family medicine; Gerontology; Public health; Nursing; Nursing homes; Disease; Business; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00189058,0.0002177562,0.001060022,0.001828346,0.002431884,0.00002413007,0.0005509058,0.0001686218,0.00001627349],"category_scores_gemma":[0.0001974932,0.0001686712,0.0001010247,0.002800865,0.00008566801,0.0004934369,0.0002342135,0.0002498477,0.000003099861],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371338,"about_ca_system_score_gemma":0.008706407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8709227,"about_ca_topic_score_gemma":0.9881849,"domain_scores_codex":[0.9956934,0.0009227801,0.001776489,0.000400492,0.0004271659,0.000779645],"domain_scores_gemma":[0.9949401,0.0009018015,0.001694339,0.001144371,0.0004114296,0.0009079645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002872993,0.0000135546,0.333467,0.1106738,0.0002781312,7.479919e-7,0.5486866,0.0002452675,0.00000151783,0.0003658439,0.002383733,0.003596566],"study_design_scores_gemma":[0.000900622,0.00015587,0.7141983,0.001280523,0.0001495967,0.000001075747,0.2293772,0.000159327,0.00000243819,0.00002354248,0.05355794,0.0001935756],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530118,0.02024062,0.00009298308,0.01348007,0.0007124166,0.003139482,0.009118735,0.0001333986,0.00007057938],"genre_scores_gemma":[0.9693716,0.01361988,0.0001500543,0.006841853,0.0001094167,0.0001752598,0.009683478,0.00002080664,0.00002766103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3807313,"threshold_uncertainty_score":0.9988668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1462040449475377,"score_gpt":0.4625194734633672,"score_spread":0.3163154285158295,"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."}}