{"id":"W2963813097","doi":"10.1109/tits.2018.2865893","title":"Joint Ground and Aerial Package Delivery Services: A Stochastic Optimization Approach","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Singapore Institute of Manufacturing Technology","keywords":"Drone; Computer science; Benchmark (surveying); Suite; Operations research; Stochastic programming; Takeoff; Mathematical optimization; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003060082,0.0003163967,0.0003352607,0.0003150437,0.0002361714,0.0001443205,0.000119126,0.0002018153,0.0000847259],"category_scores_gemma":[0.000001864175,0.0003401575,0.00009197406,0.0004349604,0.0000910324,0.0003257263,3.102732e-7,0.000213966,0.00003190553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119897,"about_ca_system_score_gemma":0.00002230389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000124175,"about_ca_topic_score_gemma":0.00004376788,"domain_scores_codex":[0.9981709,0.0001040442,0.0007091998,0.000390559,0.000331047,0.0002942814],"domain_scores_gemma":[0.9991754,0.00007044832,0.00009995935,0.0002804866,0.00021518,0.0001584716],"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":[0.0000473875,0.00005920795,0.000005632891,0.0002756658,0.00009252976,0.000001220513,0.002755636,0.9944317,0.0008705115,0.0000769402,0.000008133761,0.001375411],"study_design_scores_gemma":[0.0004359586,0.0001086134,0.00005868125,0.000151928,0.000106092,0.0000135529,0.00123555,0.9927329,0.004762309,0.000005881585,0.00004988951,0.0003386895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04536876,0.00009925876,0.9510882,0.000006464334,0.001861961,0.0006471369,0.0001050194,0.0006012294,0.0002219688],"genre_scores_gemma":[0.9680197,0.000104973,0.03126071,0.00002834707,0.0001958713,0.0001420515,0.00007422407,0.00009034347,0.00008373472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.922651,"threshold_uncertainty_score":0.999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641999052246249,"score_gpt":0.2386845806027009,"score_spread":0.2122645900802384,"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."}}