{"id":"W3128538413","doi":"10.1155/2021/8886572","title":"Vehicle Routing Problem with Transshipment: Mathematical Model and Algorithm","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transshipment (information security); Heuristics; Economic shortage; Computer science; Routing (electronic design automation); Heuristic; Vehicle routing problem; Operations research; Integer programming; Mathematical optimization; Algorithm; Mathematics; Artificial intelligence; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008803479,0.001611619,0.001641835,0.0009279537,0.0007657705,0.002687709,0.002682105,0.002228403,0.004589282],"category_scores_gemma":[0.001398623,0.0007964771,0.001771075,0.002344328,0.000939229,0.002766806,0.001573671,0.002818361,0.0009623505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902011,"about_ca_system_score_gemma":0.001702135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00946649,"about_ca_topic_score_gemma":0.008116966,"domain_scores_codex":[0.9992174,0.0002775092,0.0000348378,0.0002003678,0.0001383083,0.0001315949],"domain_scores_gemma":[0.9994742,0.0002928044,0.00008858362,0.00003132932,0.00007627987,0.00003684203],"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":[0.00002924915,0.00006063541,0.0002607236,0.000166218,0.00003787345,0.0001799608,0.00005345145,0.9304372,0.0003695939,0.04854753,0.003612294,0.01624526],"study_design_scores_gemma":[0.00001702535,0.00002922264,0.00007133856,0.00002011274,0.00001177998,0.0001051748,0.00003918104,0.9731328,0.0001097634,0.02166417,0.004786328,0.00001316171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00979032,0.003161202,0.9682889,0.001112474,0.0002290074,0.0001757825,0.0004350322,0.0002612415,0.01654612],"genre_scores_gemma":[0.379768,0.01161384,0.5658568,0.0005847102,0.0005711126,0.001303057,0.002092967,0.000236327,0.03797318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00946649,"threshold_uncertainty_score":0.01882279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009899326220585324,"score_gpt":0.242173556055023,"score_spread":0.2322742298344377,"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."}}