{"id":"W2767149973","doi":"10.1016/j.trb.2018.05.015","title":"A unified framework for rich routing problems with stochastic demands","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Mathematical optimization; Vehicle routing problem; Routing (electronic design automation); Operations research; 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":[],"consensus_categories":[],"category_scores_codex":[0.007694417,0.0002153143,0.0003621159,0.0001950625,0.0003641436,0.00006801038,0.0002611435,0.0002836695,0.0001980985],"category_scores_gemma":[0.002079722,0.0001722313,0.00006538579,0.001059123,0.0003239782,0.0001202045,0.000007686975,0.0006447905,0.00002090712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005609582,"about_ca_system_score_gemma":0.00005487167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006946764,"about_ca_topic_score_gemma":0.0000349167,"domain_scores_codex":[0.9967914,0.0009518901,0.0004787767,0.0004487756,0.0005619908,0.0007671322],"domain_scores_gemma":[0.9929515,0.005853702,0.00006312465,0.0002974984,0.0006363257,0.0001979126],"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":[0.0006229275,0.0001103425,0.003934754,0.0003287225,0.0001787736,0.00001132066,0.003742309,0.9059494,0.002710454,0.07482289,0.0004589465,0.007129221],"study_design_scores_gemma":[0.003099907,0.00297368,0.03303372,0.0006975053,0.0001627045,0.00001079911,0.001541876,0.8704062,0.01161977,0.07207881,0.003060093,0.001314999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1027206,0.00003687309,0.8951843,0.0001725583,0.00013849,0.0009025822,0.00002014729,0.00050724,0.0003171288],"genre_scores_gemma":[0.4218301,0.000008387735,0.5774858,0.00002569714,0.0002158253,0.0002969505,0.00003536039,0.00004180903,0.00006007767],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3191095,"threshold_uncertainty_score":0.7023389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3402977632688913,"score_gpt":0.4556100597102311,"score_spread":0.1153122964413398,"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."}}