{"id":"W1971870243","doi":"10.1016/j.ejor.2012.09.016","title":"A pro-active real-time control approach for dynamic vehicle routing problems dealing with the delivery of urgent goods","year":2012,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Vehicle routing problem; Tabu search; Control (management); Routing (electronic design automation); Process (computing); Quality (philosophy); Operations research; Order (exchange); Diversity (politics); Point (geometry); Mathematical optimization; Artificial intelligence; Engineering; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001701697,0.001483815,0.001327409,0.0007287265,0.0004454525,0.001531122,0.002354477,0.001568384,0.003498658],"category_scores_gemma":[0.001916902,0.0006052433,0.0007827918,0.0006181219,0.0008004756,0.001117935,0.001170013,0.001319527,0.0003810097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143723,"about_ca_system_score_gemma":0.0007838763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004162497,"about_ca_topic_score_gemma":0.003134371,"domain_scores_codex":[0.9994392,0.0001745803,0.00003113391,0.0001165172,0.0001589768,0.00007964439],"domain_scores_gemma":[0.999057,0.0005085927,0.00008662028,0.00003506651,0.0002483187,0.0000644405],"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":[0.00009446452,0.000104463,0.0001436665,0.0001395768,0.00004975586,0.000103586,0.00007340925,0.9480678,0.002055578,0.01174079,0.0008293004,0.03659749],"study_design_scores_gemma":[0.000006997573,0.00003544894,0.00001590464,0.000002414671,0.000005474327,0.000005920096,0.000004569646,0.998806,0.00007416071,0.0008443397,0.0001966753,0.000002101385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00651749,0.0002869243,0.9896529,0.000155496,0.0001281957,0.00004877928,0.00001797873,0.00009215354,0.003100067],"genre_scores_gemma":[0.8243377,0.0006315953,0.1659669,0.0002525592,0.0003252615,0.000370734,0.000107883,0.00009407706,0.007913396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004162497,"threshold_uncertainty_score":0.01170415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06960539709992418,"score_gpt":0.3517991659851844,"score_spread":0.2821937688852602,"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."}}