{"id":"W4405081294","doi":"10.2147/jmdh.s465154","title":"Higher Post-Acute Health Care Costs Following SARS-CoV-2 Infection Among Adults in Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Multidisciplinary Healthcare","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Health Centre; Ted Rogers Centre for Heart Research; Institute for Clinical Evaluative Sciences; Institute of Health Services and Policy Research; Women's College Hospital; Sunnybrook Hospital; University of Toronto","funders":"CorHealth Ontario; Ontario Ministry of Health and Long-Term Care","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Emergency medicine; Health care; Pandemic; Environmental health; Intensive care medicine; Virology; Internal medicine; Outbreak; Infectious disease (medical specialty); Disease","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000696038,0.0003875213,0.001015479,0.0007373904,0.0002751423,0.0000528699,0.0001447016,0.0002668558,0.00003106598],"category_scores_gemma":[0.00009867887,0.0003330253,0.0003899394,0.0006313468,0.00003755634,0.0004805225,0.00009228977,0.002096148,0.000005372581],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01911127,"about_ca_system_score_gemma":0.02985739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909117,"about_ca_topic_score_gemma":0.9989598,"domain_scores_codex":[0.995966,0.0002360135,0.001505464,0.0004624689,0.0009697052,0.0008603517],"domain_scores_gemma":[0.9976454,0.0001884767,0.0004462266,0.0003403829,0.0005790859,0.0008003825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002102243,0.000202701,0.9261332,0.004936959,0.0002772586,0.01188962,0.0233342,0.00002557516,0.0004839599,0.00002574335,0.006002994,0.02458555],"study_design_scores_gemma":[0.00238575,0.002915302,0.9754629,0.009210255,0.00008785702,0.000565216,0.002211209,0.00009282351,0.0001525,0.00001356621,0.006631171,0.0002714387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271519,0.0086214,0.000009102608,0.0587947,0.004346646,0.0008708104,0.00005031928,0.00005834041,0.00009684495],"genre_scores_gemma":[0.9944473,0.0003914511,0.0002572509,0.004050137,0.0005347551,0.00001395587,0.00008440872,0.0000732913,0.000147445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06729547,"threshold_uncertainty_score":0.9999122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316527366596744,"score_gpt":0.3814181349760982,"score_spread":0.3482528613101308,"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."}}