{"id":"W4414567738","doi":"10.1016/j.ifacol.2025.09.142","title":"Optimising Vaccine Logistics in Epidemic Situations: An Exact Benders Approach","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Benders' decomposition; Bilinear interpolation; Distribution (mathematics); Decomposition; Exact solutions in general relativity","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":[0.002240725,0.001414495,0.00143545,0.001028565,0.0005800546,0.001629794,0.001269585,0.001673138,0.005848779],"category_scores_gemma":[0.003759426,0.001215624,0.001504765,0.0007684657,0.001292411,0.002242202,0.001438916,0.002002193,0.0004790889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537736,"about_ca_system_score_gemma":0.002058264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004620588,"about_ca_topic_score_gemma":0.003318021,"domain_scores_codex":[0.9994135,0.000272596,0.00002268205,0.000103708,0.0001040858,0.00008342983],"domain_scores_gemma":[0.9987557,0.0008985016,0.000155152,0.00005024856,0.00008945967,0.00005094882],"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":[0.00002193426,0.000017807,0.0001265159,0.00003145325,0.0000140322,0.00001751414,0.00001912242,0.9836294,0.0003787496,0.01165473,0.0001274342,0.003961269],"study_design_scores_gemma":[0.000008471363,0.00001836827,0.00002039293,0.000005928318,0.000004432557,0.000006542716,0.00001098623,0.989447,0.0001565293,0.0100612,0.0002565431,0.000003571814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0118458,0.0001391684,0.9841914,0.0002585561,0.00002395086,0.00006042962,0.00006250426,0.00009956577,0.003318484],"genre_scores_gemma":[0.4183487,0.0005556062,0.5729907,0.0003050151,0.00005552402,0.0003338098,0.000217058,0.0001878237,0.007005773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005848779,"threshold_uncertainty_score":0.01956606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3080556876899053,"score_gpt":0.4717051084721968,"score_spread":0.1636494207822915,"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."}}