{"id":"W2063042933","doi":"10.1016/j.cor.2006.02.002","title":"Parking buses in a depot using block patterns: A Benders decomposition approach for minimizing type mismatches","year":2006,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Depot; Benders' decomposition; Block (permutation group theory); Computer science; Decomposition; Mathematical optimization; Mathematics; Combinatorics","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":[0.001026197,0.001211613,0.001740867,0.001140815,0.0006044069,0.001095642,0.001488489,0.001346337,0.004599401],"category_scores_gemma":[0.002156176,0.001357152,0.001402098,0.001648581,0.0004213722,0.001851667,0.0008580908,0.0009227779,0.0005869035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007599066,"about_ca_system_score_gemma":0.001415599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006185282,"about_ca_topic_score_gemma":0.007312127,"domain_scores_codex":[0.9994743,0.0001993717,0.00002512497,0.0001003248,0.0001121992,0.00008860105],"domain_scores_gemma":[0.9994799,0.0002129813,0.00006643287,0.00006462192,0.0001232145,0.00005274488],"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":[0.0001237068,0.00007589733,0.0004569414,0.0000565479,0.00004311824,0.00002775802,0.00004015778,0.9451606,0.00248255,0.008002129,0.0008462055,0.04268453],"study_design_scores_gemma":[0.000007434647,0.00002711629,0.00008913256,0.000003751522,0.00001037974,0.000006913357,0.00001403795,0.9948285,0.0004906521,0.004265456,0.0002525987,0.000004085172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02568766,0.0000639134,0.97184,0.00006286163,0.00001891396,0.00006804156,0.0001162068,0.0001561689,0.001986239],"genre_scores_gemma":[0.2951271,0.000158797,0.6985402,0.00005994677,0.00002481422,0.0002317247,0.0003784977,0.0002675501,0.005211397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006185282,"threshold_uncertainty_score":0.01538652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471357779012016,"score_gpt":0.4267106205084045,"score_spread":0.2795748426072029,"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."}}