{"id":"W4414538998","doi":"10.1371/journal.pone.0331654","title":"Evaluating the cost-effectiveness of COVID-19 mRNA primary-series vaccination in Qatar: An integrated epidemiological and economic analysis","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"Weill Cornell Medicine - Qatar; Gilead Sciences; Sidra Medicine; Weill Cornell Medical College; Qatar University; Hamad Medical Corporation","keywords":"Vaccination; Epidemiology; Cohort; Per capita; Incidence (geometry); Mass vaccination; Retrospective cohort study; Cohort study; Public health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01183285,0.001989246,0.002299127,0.002518449,0.0004274829,0.002469423,0.001343633,0.001837261,0.004181708],"category_scores_gemma":[0.01905319,0.001060538,0.004350795,0.002185183,0.0006601256,0.001660617,0.001545124,0.0017549,0.0002456108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009078502,"about_ca_system_score_gemma":0.006197567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01894351,"about_ca_topic_score_gemma":0.009910053,"domain_scores_codex":[0.9946395,0.004101784,0.0002042271,0.0002678316,0.0002900248,0.0004967418],"domain_scores_gemma":[0.9931452,0.005076374,0.0007471845,0.0001433995,0.0005349658,0.0003528837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01321211,0.002070812,0.04482377,0.002724211,0.006478501,0.0003924357,0.0001723304,0.8723848,0.0009997571,0.009785159,0.00212855,0.04482764],"study_design_scores_gemma":[0.003157326,0.01119207,0.03670648,0.00126698,0.008286454,0.0004649822,0.0006090622,0.9282451,0.00106475,0.005914053,0.002953713,0.0001390188],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564037,0.01112309,0.01644067,0.002674602,0.0001317151,0.001812393,0.004872639,0.00008089226,0.006460405],"genre_scores_gemma":[0.9912741,0.001481235,0.004995317,0.0002064414,0.00003068555,0.000383837,0.001245139,0.00001100746,0.0003721954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01894351,"threshold_uncertainty_score":0.06586945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2236032312039585,"score_gpt":0.4471125392065896,"score_spread":0.2235093080026311,"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."}}