{"id":"W3094207985","doi":"10.1155/2020/8843397","title":"Collaborative Multidepot Petrol Station Replenishment Problem with Multicompartments and Time Window Assignment","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science Foundation of Ministry of Education of China; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Shapley value; Computer science; Operations research; Mathematical optimization; Particle swarm optimization; Heuristic; Profit (economics); Transport engineering; Engineering; Game theory; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001415288,0.0001312348,0.0002245819,0.00005568685,0.00003977831,0.0000235577,0.0000428192,0.00002963323,0.00001277234],"category_scores_gemma":[0.00001744511,0.0001152525,0.00002481673,0.0001943846,0.00001740961,0.0004432438,9.976387e-7,0.0001313966,0.00000145807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006911914,"about_ca_system_score_gemma":0.00003032758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.948348e-7,"about_ca_topic_score_gemma":0.000002139641,"domain_scores_codex":[0.9989737,0.00004572044,0.0004659712,0.0001165911,0.0002836472,0.0001143558],"domain_scores_gemma":[0.9992781,0.00005504709,0.0002812537,0.00004798293,0.0002146012,0.0001230669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002255125,0.00002706174,0.002826805,0.00005748933,0.00007781772,0.00001461389,0.004374841,0.9530971,0.03535897,0.00001142898,0.00002071824,0.003907655],"study_design_scores_gemma":[0.0227942,0.003902957,0.4184528,0.0006852088,0.0006234765,0.00003893117,0.006050762,0.4136539,0.1303161,0.0001705492,0.002165917,0.001145104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7014539,0.0001148216,0.2976327,0.0002613062,0.00005117278,0.0003565312,0.00002582157,0.00006107705,0.00004264415],"genre_scores_gemma":[0.6555183,0.00005114997,0.3443247,0.00003053926,0.00002397086,0.000007314831,0.0000210077,0.00001880284,0.000004247556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5394431,"threshold_uncertainty_score":0.4699859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007228364623000414,"score_gpt":0.2379446417227931,"score_spread":0.2307162770997926,"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."}}