{"id":"W4404094938","doi":"10.1016/j.cor.2024.106890","title":"Optimizing task assignment and routing operations with a heterogeneous fleet of unmanned aerial vehicles for emergency healthcare services","year":2024,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Task (project management); Routing (electronic design automation); Computer science; Vehicle routing problem; Health care; Operations research; Emergency vehicle; Medical emergency; Aeronautics; Computer network; Transport engineering; Real-time computing; Systems engineering; Engineering; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0008574937,0.0001712514,0.0002187326,0.0003093716,0.0005293116,0.0003591131,0.0002076727,0.00008337606,0.00001403779],"category_scores_gemma":[0.00002892889,0.000161541,0.00004477186,0.0005809854,0.00006426605,0.0002743833,0.0001091733,0.0002357179,0.000002853069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001167329,"about_ca_system_score_gemma":0.0001166682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001328956,"about_ca_topic_score_gemma":0.0002906321,"domain_scores_codex":[0.9982733,0.0002310958,0.0004209811,0.0003590078,0.0003205066,0.0003951268],"domain_scores_gemma":[0.9990394,0.0001856198,0.00001073522,0.000256521,0.0003801465,0.0001275903],"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":[0.00001402584,0.00001924981,0.00004612783,0.0004606671,0.00008551447,0.000003468325,0.003388764,0.9817688,0.00802018,0.001140935,0.00006671547,0.004985568],"study_design_scores_gemma":[0.0002905088,0.000199226,0.0000296801,0.0002600594,0.00001560038,0.00001246832,0.0004194654,0.994038,0.004315124,0.00002258191,0.0002365605,0.000160701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2066581,0.001417347,0.7896361,0.000721632,0.0003587229,0.0008755446,0.00006540116,0.0002304266,0.00003672582],"genre_scores_gemma":[0.7748619,0.0001795269,0.2244554,0.00001442457,0.0001591724,0.0001695271,0.00006640486,0.00005145566,0.00004220873],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5682038,"threshold_uncertainty_score":0.6587452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04726617168928796,"score_gpt":0.3620906722294869,"score_spread":0.3148245005401989,"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."}}