{"id":"W2067136846","doi":"10.1002/net.20471","title":"Cutting planes for branch‐and‐price algorithms","year":2011,"lang":"en","type":"article","venue":"Networks","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Algorithm; Computer science; Cutting-plane method; Mathematical optimization; Mathematics; Integer programming","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":[0.0002503724,0.00009287934,0.0001089973,0.00002773811,0.00006019205,0.00001795972,0.00007000213,0.0000919943,0.00002689417],"category_scores_gemma":[0.00002961281,0.00009778143,0.00002375479,0.00008910058,0.00001363108,0.00006130044,0.00001667095,0.0001036622,0.000002697431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001030947,"about_ca_system_score_gemma":0.000002652645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000437245,"about_ca_topic_score_gemma":8.424537e-7,"domain_scores_codex":[0.9994718,0.00001771488,0.0001349733,0.0001142316,0.0000421061,0.0002191877],"domain_scores_gemma":[0.9996611,0.0001376972,0.00002274174,0.0001037268,0.00002248811,0.00005218212],"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":[0.000009695559,0.000008279873,0.003209676,0.00005987406,0.00004144032,0.000001613567,0.0007561964,0.7653989,0.00004859363,0.0005500403,0.001065482,0.2288502],"study_design_scores_gemma":[0.0001956127,0.00001278369,0.001582162,0.00001791753,0.00001052012,0.00000656966,0.00001433517,0.9955596,0.0001931171,0.00017188,0.002114316,0.0001212118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005077,0.0005308903,0.988203,0.000007745218,0.0004331924,0.0001270112,0.000001953772,0.00037208,0.005247101],"genre_scores_gemma":[0.4741734,0.00009919937,0.5249508,0.00007739018,0.0004824766,0.00003040958,0.000009097786,0.00005734147,0.000119839],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4690964,"threshold_uncertainty_score":0.3987411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831324828736548,"score_gpt":0.2416397591937449,"score_spread":0.2133265109063794,"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."}}