{"id":"W3028512226","doi":"10.1016/j.cor.2020.104987","title":"A review of vehicle routing with simultaneous pickup and delivery","year":2020,"lang":"en","type":"review","venue":"Computers & Operations Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":200,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Natural Sciences and Engineering Research Council of Canada","keywords":"Pickup; Vehicle routing problem; Computer science; Routing (electronic design automation); Destinations; Operations research; Tourism; Artificial intelligence; Computer network; Mathematics; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001014775,0.000279126,0.001102412,0.0002542946,0.0001885186,0.000126486,0.0003839687,0.0001331288,0.00001995193],"category_scores_gemma":[0.0004584323,0.0002390256,0.0001005529,0.00130621,0.0001232337,0.0001035233,0.0002343751,0.000806757,0.00002276364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465578,"about_ca_system_score_gemma":0.0003304315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001783853,"about_ca_topic_score_gemma":0.000005450889,"domain_scores_codex":[0.9975621,0.0007181827,0.0006278006,0.0003781024,0.0003855003,0.0003283914],"domain_scores_gemma":[0.9977608,0.001188713,0.00004277218,0.0004144952,0.0004367672,0.00015646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001071138,0.00001010878,5.097262e-7,0.06225529,0.0001023141,0.00002397953,0.0001112617,0.07658615,0.000001718668,0.00005513645,0.000429479,0.860423],"study_design_scores_gemma":[0.00009535612,0.00006782075,1.515512e-7,0.07151508,0.0000943617,0.00004403157,0.00001136979,0.5729504,0.000002292697,4.801502e-7,0.3550119,0.0002067825],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004934684,0.9303172,0.06826449,0.00005652573,0.00005561913,0.0009856398,0.00001971133,0.0001297183,0.0001661193],"genre_scores_gemma":[0.00004012961,0.9187071,0.08089682,0.00004385307,0.00008957963,0.0000619726,0.00005186702,0.00008031903,0.00002836558],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8602162,"threshold_uncertainty_score":0.9747183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08792970271494478,"score_gpt":0.389522005941624,"score_spread":0.3015923032266792,"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."}}