{"id":"W2184454626","doi":"","title":"A Logic-Based Benders Approach to Scheduling with Alternative Resources and Setup Times","year":2011,"lang":"en","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Benders' decomposition; Job shop scheduling; Mathematical optimization; Integer programming; Scheduling (production processes); Travelling salesman problem; Computer science; Decomposition; Sequence (biology); Mathematics; Routing (electronic design automation)","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":[0.00007452592,0.0001233375,0.0001067348,0.00009856193,0.00004570921,0.00003533516,0.00008139245,0.00004033373,0.00006954192],"category_scores_gemma":[0.00001131995,0.00009429597,0.00001420739,0.0001526368,0.00003041509,0.00006209598,0.0000136335,0.00008051495,0.0000130219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000128943,"about_ca_system_score_gemma":0.000006599047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003220179,"about_ca_topic_score_gemma":0.00000337906,"domain_scores_codex":[0.9994666,0.00001084561,0.00009091207,0.0001740247,0.000101579,0.0001560269],"domain_scores_gemma":[0.9997163,0.00002045882,0.00001334643,0.000110449,0.0000325732,0.0001068116],"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":[0.0000240351,0.00002832336,0.0004734812,0.00002122643,0.00004905627,0.000002515838,0.003138212,0.9941947,0.00001706844,0.001187811,0.00005246766,0.0008111306],"study_design_scores_gemma":[0.0003671153,0.00006282184,0.0002227021,0.00001811223,0.00001226145,0.000004076807,0.001491935,0.9954362,0.002027934,0.00009411691,0.00006643396,0.0001962875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05120914,0.00008798464,0.8693085,0.00003880393,0.00004079997,0.0001367929,0.000002430307,0.0004122777,0.07876328],"genre_scores_gemma":[0.4304983,0.000002750876,0.5691938,0.0001425,0.00001915921,0.00001165716,0.000002942554,0.00001694107,0.0001118976],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3792892,"threshold_uncertainty_score":0.3845278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762839945275901,"score_gpt":0.2073665028997146,"score_spread":0.1797381034469556,"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."}}