{"id":"W65917153","doi":"","title":"Vehicle routing problems with multiple trips: using specific local search operators","year":2014,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Liège)","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"TRIPS architecture; Vehicle routing problem; Computer science; Routing (electronic design automation); Computer network","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":[0.0013648,0.0006092989,0.0008873478,0.0009673932,0.0005191262,0.002081573,0.001353319,0.001720406,0.01232223],"category_scores_gemma":[0.004685401,0.0003104504,0.0008266668,0.001292424,0.0007862487,0.001845534,0.0005225858,0.002246016,0.00247446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007883414,"about_ca_system_score_gemma":0.0009822648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002067731,"about_ca_topic_score_gemma":0.004092005,"domain_scores_codex":[0.9993911,0.0002064653,0.00003996665,0.0001067947,0.0002274255,0.00002835896],"domain_scores_gemma":[0.9980488,0.00088552,0.00008809385,0.00007256451,0.0008248681,0.00008017159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001286317,0.00006481318,0.0001878641,0.001588535,0.0001076064,0.0002265013,0.000061232,0.03543971,0.0008753243,0.04560016,0.6747609,0.2409587],"study_design_scores_gemma":[0.0001058949,0.0001191265,0.0007412612,0.001084203,0.0001843061,0.0004716302,0.0002239484,0.118856,0.001818209,0.05612536,0.820196,0.00007415168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.014822,0.1369611,0.4152063,0.07229596,0.2255941,0.0002894375,0.00113076,0.001171957,0.1325284],"genre_scores_gemma":[0.2010402,0.1424768,0.2501943,0.01074273,0.1285105,0.0003659931,0.002206985,0.001978491,0.2624841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01232223,"threshold_uncertainty_score":0.04122204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230776868708437,"score_gpt":0.2230124766574559,"score_spread":0.1999347897866122,"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."}}