{"id":"W1973522191","doi":"10.1111/j.1475-3995.2007.00616.x","title":"Lagrangean‐based solution approaches for the generalized problem of locating capacitated warehouses","year":2008,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Heuristics; Mathematical optimization; Computer science; Set (abstract data type); Integer programming; Relaxation (psychology); Linear programming relaxation; Integer (computer science); Facility location problem; Operations research; Mathematics","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":[0.001331342,0.0001023348,0.0001053121,0.0005297177,0.000556062,0.00008062986,0.0003665007,0.00004670394,0.0006710869],"category_scores_gemma":[0.0001772227,0.00008442385,0.00008707089,0.0006690517,0.0002169014,0.0005659324,0.00001841849,0.0001845296,0.00003713824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219422,"about_ca_system_score_gemma":0.0001307354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003979442,"about_ca_topic_score_gemma":0.003535269,"domain_scores_codex":[0.998315,0.00004145543,0.00041438,0.0002392152,0.0007728294,0.0002171537],"domain_scores_gemma":[0.9986017,0.0002315412,0.00003805698,0.000153243,0.0009657747,0.000009663376],"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":[0.0002252564,0.0005251245,0.001280255,0.0001504136,0.00009970567,0.000001038117,0.0004020889,0.9286662,0.0007324131,0.05792754,0.001751948,0.008237977],"study_design_scores_gemma":[0.0009238836,0.00001426036,0.003727999,0.00003141094,0.00001061677,0.0000013216,0.0005330732,0.9680502,0.0003804845,0.0006227425,0.02558884,0.0001152067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1101481,0.0002070313,0.8363311,0.03922999,0.0008054432,0.002742329,0.00008243491,0.0001119086,0.0103417],"genre_scores_gemma":[0.9929445,0.00004358383,0.004496516,0.0002596547,0.0002063552,0.0007426967,0.000140399,0.00001443035,0.00115182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8827965,"threshold_uncertainty_score":0.7347931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3304815892997033,"score_gpt":0.3601583501269553,"score_spread":0.02967676082725196,"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."}}