{"id":"W4401287657","doi":"10.1177/11786329241266675","title":"The Medical Complexity of Newly Admitted Long-Term Care Residents Before and During the COVID-19 Pandemic in Ontario, British Columbia, and Alberta: A Serial Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"Health Services Insights","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Brock University; Dalhousie University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Pandemic; Long-term care; Medicine; Cross-sectional study; Population; Psychological intervention; Minimum Data Set; Coronavirus disease 2019 (COVID-19); Pneumonia; Geriatrics; Descriptive statistics; Gerontology; Demography; Pediatrics; Emergency medicine; Environmental health; Disease; Nursing homes; Psychiatry; Nursing; Infectious disease (medical specialty); Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007136358,0.0003674235,0.0003645385,0.001509246,0.001387131,0.001089607,0.001141563,0.0005301567,0.0009810812],"category_scores_gemma":[0.002457298,0.0003978103,0.0004433419,0.00322176,0.0007175551,0.0005012737,0.001021078,0.0006905849,0.0001759308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01203401,"about_ca_system_score_gemma":0.01171424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9504374,"about_ca_topic_score_gemma":0.9754867,"domain_scores_codex":[0.9990971,0.0000832468,0.00008489695,0.0001190511,0.0003727683,0.0002429106],"domain_scores_gemma":[0.9975523,0.0001418427,0.0007838734,0.00008682055,0.0007868596,0.0006482235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000224146,0.00002310321,0.9986393,0.000008890617,0.00001936763,0.0000338626,0.0004266408,0.00002512443,0.00005883285,0.00000861033,0.0001789863,0.0005548791],"study_design_scores_gemma":[0.000001221922,0.00001295918,0.9993787,0.00000562179,0.000003265533,0.00001613966,0.000458762,0.00004143966,0.000007786089,0.00000231069,0.00006939096,0.000002380459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975714,0.0001421711,0.00005179815,0.00007858303,0.000004566419,0.00003704167,0.001625767,0.000004450313,0.0004842607],"genre_scores_gemma":[0.9974563,0.0001657501,0.0001225332,0.00008161818,0.000008188109,0.00003167604,0.00179037,0.000002661783,0.0003408612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04956257,"threshold_uncertainty_score":0.09970886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304042125959431,"score_gpt":0.3948145940662408,"score_spread":0.3517741728066465,"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."}}