{"id":"W4406999253","doi":"10.1016/j.ejor.2025.01.032","title":"A branch-and-price algorithm for fast and equitable last-mile relief aid distribution","year":2025,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Mile; Distribution (mathematics); Computer science; Last mile (transportation); Operations research; Algorithm; Economics; Mathematical optimization; Mathematics; Geography; Geodesy","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":[0.002723754,0.001561235,0.002721612,0.002620112,0.001865336,0.002767214,0.003030142,0.002482224,0.02591264],"category_scores_gemma":[0.008252722,0.001049444,0.0009319196,0.00299257,0.0008945781,0.003266592,0.002309107,0.002685013,0.00445616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793554,"about_ca_system_score_gemma":0.0044939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246972,"about_ca_topic_score_gemma":0.01579287,"domain_scores_codex":[0.9987615,0.0002991164,0.0000985797,0.0002250514,0.0003514614,0.0002642456],"domain_scores_gemma":[0.9960813,0.002388871,0.0001576189,0.0003757051,0.0007117968,0.0002848631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009050822,0.000436098,0.001142181,0.0001238822,0.00006202743,0.0001497123,0.0001518294,0.3459952,0.002280413,0.01439834,0.02366398,0.6106912],"study_design_scores_gemma":[0.0001346664,0.00006580503,0.0001408322,0.000009558222,0.00001151754,0.00003712765,0.00004187321,0.9873789,0.0006181749,0.01014694,0.001404727,0.000009963681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02557494,0.0003556714,0.9635471,0.0005373643,0.0001676107,0.0003216362,0.0003912031,0.003862409,0.005242022],"genre_scores_gemma":[0.137063,0.0001640033,0.8537911,0.0001853254,0.0001288606,0.0002864183,0.001175872,0.0004421119,0.006763295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02591264,"threshold_uncertainty_score":0.08668643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05133052850249088,"score_gpt":0.3253133373805396,"score_spread":0.2739828088780487,"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."}}