{"id":"W4294724286","doi":"10.1016/j.cor.2022.106015","title":"A last-mile drone-assisted one-to-one pickup and delivery problem with multi-visit drone trips","year":2022,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Drone; Computer science; Pickup; Payload (computing); Truck; Last mile (transportation); TRIPS architecture; Mile; Operations research; Real-time computing; Engineering; Artificial intelligence; Computer security; Network packet; Automotive engineering; Geography","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":[0.002104601,0.002515167,0.005720298,0.001595168,0.002057132,0.003806043,0.005820934,0.006830859,0.01028118],"category_scores_gemma":[0.003934895,0.002456472,0.003225504,0.002558111,0.001728313,0.003845946,0.003318353,0.003200345,0.001140265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002067786,"about_ca_system_score_gemma":0.002225733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01460167,"about_ca_topic_score_gemma":0.01044907,"domain_scores_codex":[0.9985254,0.000441361,0.00006845207,0.0004273487,0.0001641893,0.0003732503],"domain_scores_gemma":[0.9972879,0.001578451,0.000286174,0.0001616496,0.000175159,0.0005108146],"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":[0.0004771673,0.0002396343,0.0006940718,0.0002853448,0.0001279031,0.0006385953,0.0001009809,0.9769876,0.0008131242,0.007119051,0.002720324,0.009796138],"study_design_scores_gemma":[0.00008635322,0.0002020985,0.0002590269,0.00001809192,0.00004904288,0.0001212081,0.0001322516,0.994077,0.0003186958,0.003903988,0.0008032763,0.00002906978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3438534,0.00230592,0.6262406,0.002485575,0.0006840068,0.001014355,0.002981322,0.000722044,0.01971288],"genre_scores_gemma":[0.8908247,0.0008197665,0.08213355,0.0002273908,0.0002154023,0.0003963098,0.001307342,0.0002097387,0.02386586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01460167,"threshold_uncertainty_score":0.03439397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08399262146980647,"score_gpt":0.3299644542793425,"score_spread":0.2459718328095361,"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."}}