{"id":"W2139218870","doi":"10.1287/ijoc.1040.0103","title":"A New Mathematical-Programming Framework for Facility-Layout Design","year":2006,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Computer science; Facility location problem; Relaxation (psychology); 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":[0.0002830732,0.0001636235,0.0001803429,0.00009318825,0.0002003347,0.0001949794,0.0001290009,0.00009406383,0.00001483579],"category_scores_gemma":[0.000200582,0.0001369056,0.00008363773,0.00008596556,0.00001231162,0.0001390505,0.0000147291,0.0003654186,0.00002455867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009133287,"about_ca_system_score_gemma":0.00002051391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001258679,"about_ca_topic_score_gemma":1.65419e-7,"domain_scores_codex":[0.9989839,0.000006323342,0.0004221639,0.00008810713,0.0001588221,0.0003407516],"domain_scores_gemma":[0.9992086,0.0004207021,0.0001065996,0.0001141532,0.00004948534,0.0001004422],"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":[0.00001060473,0.000007423763,0.000008844971,0.00003374546,0.00001242144,0.000002714529,0.00009586509,0.8823693,0.000002987502,0.007659909,0.0003663703,0.1094298],"study_design_scores_gemma":[0.0004876747,0.0001254536,0.00005636537,0.0002200552,0.00001680215,0.00006842359,0.00005668497,0.7933587,0.0008191426,0.1977427,0.006740419,0.000307574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001105659,0.00004227262,0.9974267,0.00003038062,0.0003322179,0.0001795503,0.000001816725,0.0002833417,0.000598058],"genre_scores_gemma":[0.2514183,0.000002597324,0.7480931,0.00003755124,0.000373908,0.000001832928,0.000004269812,0.00001786204,0.00005065949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2503126,"threshold_uncertainty_score":0.5582848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434185302240616,"score_gpt":0.2593529290570322,"score_spread":0.2350110760346261,"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."}}