{"id":"W4410204728","doi":"10.1016/j.apm.2025.116175","title":"A drone-assisted last-mile delivery framework for shipment prioritization in post-disaster and high demand periods","year":2025,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"","keywords":"Drone; Mile; Last mile (transportation); Prioritization; Business; Aeronautics; On demand; Computer science; Transport engineering; Engineering; Geography; Process management; Commerce","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":[0.001564827,0.001263963,0.0008093636,0.0007473945,0.0006115239,0.001803202,0.002036297,0.001143124,0.005160078],"category_scores_gemma":[0.002023984,0.0007181971,0.0009835075,0.0007977096,0.0006539741,0.001459662,0.001387545,0.00157791,0.0004705913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659194,"about_ca_system_score_gemma":0.002958913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01641086,"about_ca_topic_score_gemma":0.01401182,"domain_scores_codex":[0.9991725,0.0002485291,0.00004227402,0.0001763739,0.0001919858,0.0001682758],"domain_scores_gemma":[0.9993027,0.000307791,0.0001141146,0.00002325331,0.0001527434,0.00009937165],"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":[0.00004466879,0.00006417888,0.0004491837,0.0001119459,0.00002429805,0.0001293275,0.00009124199,0.9613348,0.001147724,0.02344045,0.0009862027,0.01217607],"study_design_scores_gemma":[0.0000114383,0.00003666538,0.0001042978,0.00001631911,0.00001137732,0.0000179982,0.00003837255,0.9945626,0.0002200464,0.003311067,0.00166191,0.000008005533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01663261,0.0005047151,0.9742423,0.0004011125,0.00009789192,0.0002085115,0.0003634442,0.0003271967,0.007222292],"genre_scores_gemma":[0.6296228,0.001135309,0.3548631,0.0002068778,0.00009578677,0.0005959093,0.0005412452,0.0001896392,0.01274944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01641086,"threshold_uncertainty_score":0.03263068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003420661279782,"score_gpt":0.2235100350698736,"score_spread":0.2134758284570757,"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."}}