{"id":"W4312688152","doi":"10.1016/j.ifacol.2022.10.175","title":"A Vehicle Routing Problem with Time Windows and Workload Balancing for COVID-19 Testers: A Case Study","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Workload; Solver; Computer science; Vehicle routing problem; Integer programming; Coronavirus disease 2019 (COVID-19); Routing (electronic design automation); Operations research; Engineering; Embedded system; Operating system; Algorithm; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001053758,0.0002754049,0.000340932,0.0001276049,0.0005848462,0.00009414186,0.0001486206,0.00004998927,0.00008814465],"category_scores_gemma":[0.0001747188,0.000273893,0.00004753939,0.0004949231,0.00003355738,0.0001519451,0.0001263459,0.0003152577,0.000003000843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002677422,"about_ca_system_score_gemma":0.00008993789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001191259,"about_ca_topic_score_gemma":0.00007221606,"domain_scores_codex":[0.998339,0.0001740364,0.0003520823,0.0004361782,0.0002544411,0.000444282],"domain_scores_gemma":[0.998853,0.0005051576,0.00009640687,0.0002715825,0.00004749843,0.0002263151],"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":[0.0001073082,0.0001791935,0.01993735,0.0001547744,0.000152163,0.0008111513,0.01182767,0.9542754,0.002756031,0.000004767458,0.00001321578,0.009780971],"study_design_scores_gemma":[0.003798432,0.0005996948,0.0002716494,0.00004257851,0.0001119768,0.001726536,0.01208983,0.9805664,0.00005545776,0.000007275426,0.0002700152,0.0004600983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417164,0.0002386863,0.05466855,0.0004555206,0.00006769025,0.001896688,0.00008395309,0.0007159524,0.0001565979],"genre_scores_gemma":[0.5306495,0.000002114039,0.4683815,0.0002999731,0.00008338639,0.0002836436,0.0000164915,0.00008387373,0.000199457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4137129,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950194149857019,"score_gpt":0.2764449707099139,"score_spread":0.2569430292113437,"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."}}