{"id":"W4366525242","doi":"10.1016/j.ejor.2023.03.032","title":"Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19","year":2023,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Vaccination; Solver; Mathematical optimization; Computer science; Pandemic; Lethality; Epidemic model; Medicine; Coronavirus disease 2019 (COVID-19); Mathematics; Immunology; Infectious disease (medical specialty); Environmental health; Biology; Population","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":[0.001770862,0.0008446045,0.0007822984,0.0005298859,0.0007004598,0.0009847573,0.001217543,0.001831818,0.002633547],"category_scores_gemma":[0.003399435,0.0004190435,0.0009383779,0.0005846265,0.0007587413,0.0009385399,0.0007478616,0.001035595,0.0001634288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002099042,"about_ca_system_score_gemma":0.001305305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0248605,"about_ca_topic_score_gemma":0.0153953,"domain_scores_codex":[0.9991961,0.0003642271,0.00001987126,0.0001041474,0.00007833076,0.0002372641],"domain_scores_gemma":[0.9975211,0.001778734,0.0002149572,0.00008660861,0.0001598571,0.0002386786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001773951,0.0001910952,0.003228899,0.00005386384,0.00003425832,0.0006149528,0.00006048386,0.9861041,0.0006824913,0.003961765,0.0009100144,0.003980633],"study_design_scores_gemma":[0.00007389517,0.0001523,0.00123015,0.000006982259,0.00002121463,0.0001065007,0.0001723775,0.9945173,0.0005531801,0.002441371,0.0007107883,0.00001387254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9295382,0.0005944985,0.06023303,0.001098358,0.0000833839,0.0001807259,0.0006830665,0.0001257144,0.007462993],"genre_scores_gemma":[0.9832307,0.000153211,0.01393222,0.00006866681,0.00002019336,0.00005266911,0.0002031812,0.00002179807,0.002317325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0248605,"threshold_uncertainty_score":0.04943162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3781464248380688,"score_gpt":0.5073816017569092,"score_spread":0.1292351769188404,"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."}}