{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001544498,0.00136025,0.0008679318,0.0007894653,0.0004117217,0.001719634,0.001738976,0.001493182,0.006788337],"category_scores_gemma":[0.003004507,0.0007294863,0.0009290684,0.001902688,0.0005067446,0.002252027,0.001013592,0.002414724,0.0009151302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202285,"about_ca_system_score_gemma":0.001922533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716683,"about_ca_topic_score_gemma":0.003579178,"domain_scores_codex":[0.9987422,0.0005046728,0.00006237094,0.0002287491,0.0003385503,0.000123423],"domain_scores_gemma":[0.9989613,0.0005566829,0.0001401487,0.00008765568,0.0001814748,0.00007272803],"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":[0.00008390978,0.0001669124,0.0006366384,0.0003030119,0.0000511943,0.0002166245,0.00009814248,0.7704535,0.002345274,0.1396327,0.01361188,0.07240016],"study_design_scores_gemma":[0.00002586681,0.00005102576,0.0001082007,0.00002656579,0.0000136039,0.0001120094,0.00003087749,0.964351,0.0004795946,0.02684187,0.007949347,0.000009935719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005914673,0.0002079285,0.984783,0.0006240643,0.0001407294,0.0001437444,0.0003634405,0.000116072,0.007706383],"genre_scores_gemma":[0.1222674,0.0008387876,0.8645818,0.0003818059,0.000284335,0.0006223479,0.0008926463,0.000199949,0.009930976],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006788337,"threshold_uncertainty_score":0.02270925,"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."}}