{"id":"W2008806816","doi":"10.1016/s0377-2217(02)00915-3","title":"Real-time vehicle routing: Solution concepts, algorithms and parallel computing strategies","year":2003,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":347,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Computer science; Vehicle routing problem; Fleet management; Time horizon; Field (mathematics); Routing (electronic design automation); Operations research; Routing algorithm; Algorithm; Emphasis (telecommunications); Mathematical optimization; Telecommunications; Computer network; Routing protocol; Engineering","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":[0.008181138,0.0001193769,0.000174861,0.0001769148,0.0003198588,0.0003350879,0.0001790397,0.00003150777,0.0001064494],"category_scores_gemma":[0.0006478077,0.0001140335,0.00004145014,0.0002735643,0.0001285631,0.0004071197,0.00004551709,0.0005212091,0.00004366726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009117485,"about_ca_system_score_gemma":0.0001686577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000293289,"about_ca_topic_score_gemma":2.354476e-7,"domain_scores_codex":[0.9964715,0.001930306,0.0005198328,0.0001413922,0.0006164682,0.0003205611],"domain_scores_gemma":[0.9985932,0.0004074637,0.00007746373,0.0001100278,0.0006535304,0.0001583089],"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":[0.00002473563,0.00004150307,0.0005426837,0.00002868243,0.00007171644,0.0001055281,0.001491784,0.913367,0.06223197,0.01218682,0.002069191,0.007838325],"study_design_scores_gemma":[0.001290931,0.0002636543,0.008963018,0.000115812,0.000009756664,0.0002570584,0.0009807989,0.9837227,0.001631863,0.0002131627,0.002306313,0.0002448587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4498955,0.0006700851,0.484542,0.0004016523,0.0002849577,0.0002280251,0.000004773066,0.0001135896,0.06385941],"genre_scores_gemma":[0.8012952,0.0001748613,0.1980412,0.0000116201,0.0002189395,4.203172e-7,0.000003199219,0.00003808062,0.0002163827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3513997,"threshold_uncertainty_score":0.465015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06723250682678367,"score_gpt":0.3664937950685185,"score_spread":0.2992612882417349,"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."}}