{"id":"W4388035562","doi":"10.7326/m23-1394","title":"Effectiveness of Nirmatrelvir–Ritonavir Against the Development of Post–COVID-19 Conditions Among U.S. Veterans","year":2023,"lang":"en","type":"article","venue":"Annals of Internal Medicine","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biomedical Advanced Research and Development Authority; School of Medicine, Duke University; U.S. Food and Drug Administration; University of Washington; Canada Excellence Research Chairs, Government of Canada; Oregon State University; Johns Hopkins University; Yale University; U.S. Department of Veterans Affairs","keywords":"Medicine; Ritonavir; Internal medicine; Cumulative incidence; Veterans Affairs; Incidence (geometry); Retrospective cohort study; Pneumonia; Viral load; Cohort; Immunology; Human immunodeficiency virus (HIV)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003636783,0.000249608,0.000379057,0.0001966617,0.0001741932,0.0004205139,0.0003119938,0.0003746724,0.001473528],"category_scores_gemma":[0.004092726,0.000127744,0.0009628367,0.000161124,0.0002518023,0.0003101412,0.0002443271,0.0005907515,0.0001081009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004077503,"about_ca_system_score_gemma":0.0004734159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001263551,"about_ca_topic_score_gemma":0.002135433,"domain_scores_codex":[0.9982084,0.001280815,0.00009630217,0.0001439491,0.0001429177,0.0001276852],"domain_scores_gemma":[0.9981385,0.0007618076,0.0005794203,0.0001261192,0.00008400632,0.0003099941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1819256,0.009651457,0.4867404,0.0009634053,0.005062061,0.0001648769,0.000455869,0.003734958,0.004513749,0.0006190811,0.003295718,0.3028729],"study_design_scores_gemma":[0.01180514,0.128391,0.8465271,0.0003209567,0.002207867,0.0004313135,0.0003217523,0.004487407,0.002726357,0.0003074955,0.002441487,0.00003207726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996587,0.00220972,0.00004803803,0.000106369,0.00002164936,0.00002886156,0.0001108764,0.000005646399,0.0008817977],"genre_scores_gemma":[0.9993735,0.0002891482,0.00005529568,0.00006589825,0.00002568197,0.00001232485,0.00009422202,8.298317e-7,0.0000830359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003636783,"threshold_uncertainty_score":0.01923335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143817855005675,"score_gpt":0.491565091877979,"score_spread":0.3771833063774115,"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."}}