{"id":"W4206648771","doi":"10.1371/journal.pone.0262807","title":"COVID-19 excess mortality among long-term care residents in Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Canadian Institutes of Health Research; Institute for Clinical Evaluative Sciences","keywords":"Pandemic; Medicine; Demography; Coronavirus disease 2019 (COVID-19); Retrospective cohort study; Mortality rate; Cohort study; Cohort; Disease; 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":[0.0004212582,0.0003572283,0.0003903252,0.000821362,0.002753666,0.0008935205,0.001040426,0.0003743971,0.001996409],"category_scores_gemma":[0.001449279,0.0003444829,0.0005378948,0.002127144,0.0005994618,0.0004028528,0.0009598389,0.0005890679,0.0002180441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02024488,"about_ca_system_score_gemma":0.02569566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926689,"about_ca_topic_score_gemma":0.997296,"domain_scores_codex":[0.999431,0.00003160423,0.00003801969,0.0001092262,0.0001522231,0.0002379796],"domain_scores_gemma":[0.9982266,0.00005230719,0.0004200939,0.00006976709,0.0007551378,0.0004761359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006160288,0.00001545784,0.9959699,0.00002398026,0.00003305797,0.00007690432,0.0004601956,0.00004708173,0.0001628574,0.00004539125,0.001247227,0.001856313],"study_design_scores_gemma":[0.000004626413,0.00001347008,0.9986925,0.00002568883,0.00001410397,0.00003654035,0.0005937023,0.00009459325,0.00002494831,0.00001597671,0.000477436,0.000006467105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898571,0.0007015797,0.0001256273,0.0005031042,0.00002648306,0.00003916963,0.006573949,0.00001233016,0.00216075],"genre_scores_gemma":[0.9963769,0.0004359152,0.0001042727,0.0001389666,0.00001114565,0.0000176113,0.001834584,0.000004638762,0.00107602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02024488,"threshold_uncertainty_score":0.1468876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09949525088750365,"score_gpt":0.3637862238758161,"score_spread":0.2642909729883124,"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."}}