{"id":"W2091630182","doi":"10.1287/trsc.2014.0575","title":"Dynamic Facility Location with Generalized Modular Capacities","year":2015,"lang":"en","type":"article","venue":"Transportation Science","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Facility location problem; Flexibility (engineering); Software deployment; Computer science; Mathematical optimization; Schedule; Modular design; 1-center problem; Operations research; Dynamic programming; Linear programming; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006910872,0.0001182429,0.0001015779,0.0002282239,0.0001968181,0.000136732,0.0002524571,0.00002040653,0.0001155066],"category_scores_gemma":[0.00004038522,0.0001015809,0.00002130821,0.001371277,0.0004005469,0.002131699,0.000006851476,0.00004713317,0.0002775459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006529562,"about_ca_system_score_gemma":0.0001023417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002152469,"about_ca_topic_score_gemma":0.003226368,"domain_scores_codex":[0.9985068,0.000005062056,0.0002358277,0.0003331937,0.0007033612,0.0002157044],"domain_scores_gemma":[0.9989289,0.000002493953,0.0000600038,0.0002565079,0.0007209028,0.00003121207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003204487,0.0003473292,0.04409499,0.0006128449,0.00004084614,0.00001110293,0.006742914,0.7600478,0.004077106,0.1737754,0.001458151,0.008471029],"study_design_scores_gemma":[0.002568713,0.00005506162,0.5001895,0.00004833939,0.0001086679,9.667211e-7,0.01036908,0.4337814,0.0005334978,0.005883174,0.04546911,0.0009924683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412444,0.00002266664,0.05440035,0.0007777397,0.000252389,0.0002539684,0.000006884743,0.0001573759,0.002884262],"genre_scores_gemma":[0.9979419,0.000002607697,0.000864192,0.0006307568,0.0000221959,0.0000305148,0.0001206242,0.000004799746,0.0003824792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4560946,"threshold_uncertainty_score":0.4142348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03941980682832121,"score_gpt":0.2458820487372758,"score_spread":0.2064622419089546,"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."}}