{"id":"W3037279131","doi":"10.1101/2020.06.23.20137729","title":"Association Between Nursing Home Crowding and COVID-19 Infection and Mortality in Ontario, Canada","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Centre; Impact; Sunnybrook Hospital; Women's College Hospital; McMaster University; Public Health Ontario; University Health Network; University of Toronto","funders":"","keywords":"Crowding; Medicine; Nursing homes; Coronavirus disease 2019 (COVID-19); Incidence (geometry); Bedroom; Demography; Population; Gerontology; Infection control; Environmental health; Nursing; Geography; Disease; Psychology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005803597,0.0003160308,0.000338793,0.001164492,0.00191284,0.0009211962,0.0009473892,0.0002810259,0.001707985],"category_scores_gemma":[0.002082374,0.0002908962,0.0004593203,0.0025105,0.000635035,0.0003208894,0.0008536181,0.0004061213,0.0001274157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01768993,"about_ca_system_score_gemma":0.01791335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9880795,"about_ca_topic_score_gemma":0.9920475,"domain_scores_codex":[0.9991787,0.00005539405,0.00005989959,0.0001307763,0.0003089255,0.000266169],"domain_scores_gemma":[0.9969022,0.0001278635,0.0008977305,0.0000859534,0.001286706,0.0006995788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002235164,0.000007188073,0.9981714,0.00001698022,0.00002093819,0.00003355824,0.0001773591,0.0000421822,0.00005037035,0.00001809421,0.0004927565,0.0009466832],"study_design_scores_gemma":[0.000002237515,0.000007828097,0.9992093,0.00002246051,0.000006611776,0.00002051733,0.0003080335,0.0001400396,0.0000130995,0.00001100529,0.000255456,0.000003327312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919443,0.0009383346,0.0001350724,0.0003206995,0.00001699141,0.00003488865,0.004744518,0.00001054446,0.00185459],"genre_scores_gemma":[0.9977203,0.0003545009,0.0001020751,0.00005476547,0.000007601812,0.00001309106,0.001264496,0.000002425694,0.0004807491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01768993,"threshold_uncertainty_score":0.12835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08616891951349284,"score_gpt":0.3944275695489223,"score_spread":0.3082586500354294,"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."}}