{"id":"W2765241042","doi":"10.71781/11079","title":"Recourse policies in the vehicle routing problem with stochastic demands","year":2017,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vehicle routing problem; Computer science; Routing (electronic design automation); Operations research; Business; Mathematical optimization; Engineering; Computer network; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001701076,0.0007648836,0.001325638,0.0004856048,0.00051891,0.001900375,0.001145655,0.001603282,0.003069455],"category_scores_gemma":[0.006198886,0.0006870761,0.000720892,0.0007338092,0.0007556399,0.001876924,0.0009458885,0.001614452,0.0002951554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594279,"about_ca_system_score_gemma":0.001764485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008187627,"about_ca_topic_score_gemma":0.006827534,"domain_scores_codex":[0.9987942,0.0005325482,0.00005651324,0.0002273291,0.0001496302,0.0002397084],"domain_scores_gemma":[0.9964638,0.002672853,0.000312677,0.00008376561,0.0002346942,0.0002321802],"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":[0.0001358021,0.00005610719,0.0007903117,0.0001055726,0.00003950662,0.000103202,0.00008387298,0.9468375,0.0004627364,0.03945001,0.001479011,0.01045635],"study_design_scores_gemma":[0.00001821473,0.0000410557,0.0001723161,0.00001219089,0.000007890525,0.00002206822,0.00004859369,0.9774366,0.0001257732,0.0212977,0.0008097396,0.000007831002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1748797,0.001916982,0.8053749,0.003056966,0.0001545219,0.0001387485,0.0005207887,0.0003434337,0.01361399],"genre_scores_gemma":[0.9264335,0.001263218,0.05826935,0.0002450931,0.0001104052,0.0001850619,0.000363738,0.0001320652,0.0129975],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008187627,"threshold_uncertainty_score":0.01627994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007124106004110809,"score_gpt":0.1994689898446417,"score_spread":0.1923448838405309,"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."}}