{"id":"W2157589720","doi":"10.1287/trsc.2013.0503","title":"A New Formulation Based on Customer Delivery Patterns for a Maritime Inventory Routing Problem","year":2014,"lang":"en","type":"article","venue":"Transportation Science","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Column generation; Solver; Integer programming; Revenue; Operations research; Mathematical optimization; Liquefied natural gas; Scheduling (production processes); Benchmark (surveying); Computer science; Routing (electronic design automation); Lagrangian relaxation; Branch and price; Term (time); Engineering; Mathematics; Economics; Natural gas; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008750979,0.0001136536,0.000105642,0.0002071945,0.0001399371,0.00005665821,0.0001614809,0.00006339344,0.00003683778],"category_scores_gemma":[0.00004956092,0.0001230663,0.00004663052,0.0004667891,0.00002366332,0.0003939998,0.000001543972,0.00009735434,0.00001068199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007817391,"about_ca_system_score_gemma":0.00007638751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002706092,"about_ca_topic_score_gemma":0.00003166112,"domain_scores_codex":[0.9988839,0.00001920893,0.0002699969,0.0002354972,0.000337622,0.0002537788],"domain_scores_gemma":[0.9994488,0.000107741,0.00005969248,0.0001554191,0.0001185687,0.0001098174],"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":[0.000009956921,0.000007626268,0.01005885,0.00005142423,0.000001931861,1.427827e-7,0.0003811835,0.9604078,0.002483845,0.00211325,0.00003894729,0.02444507],"study_design_scores_gemma":[0.0004063628,0.00003338331,0.02986656,0.00005562657,0.0000105819,1.410525e-7,0.0000138688,0.9650747,0.003880483,0.0001449407,0.0003649805,0.0001483811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08982789,0.000002111204,0.9086806,0.0000557096,0.0001185343,0.0002825572,0.000009028367,0.0002572012,0.0007663994],"genre_scores_gemma":[0.8048024,8.085264e-7,0.1949098,0.0001355196,0.0000380339,0.00002331329,0.00003023704,0.00002000846,0.00003994046],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7149745,"threshold_uncertainty_score":0.5018499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901026960619377,"score_gpt":0.2648938226044016,"score_spread":0.2458835529982078,"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."}}