{"id":"W2071709128","doi":"10.1016/j.ipl.2012.02.004","title":"Improved approximation algorithms for the robust fault-tolerant facility location problem","year":2012,"lang":"en","type":"article","venue":"Information Processing Letters","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Facility location problem; Subroutine; Rounding; Approximation algorithm; Algorithm; Computer science; Key (lock); Mathematics; Mathematical optimization","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":[0.00107518,0.0001843356,0.0001196157,0.0001732996,0.0006086284,0.0005745146,0.0002413951,0.00005431975,0.00004708451],"category_scores_gemma":[0.0001188237,0.000140901,0.00006339717,0.0005053335,0.00005630966,0.009040853,0.00005876706,0.0001048034,0.0002352551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008104181,"about_ca_system_score_gemma":0.00002393973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002433619,"about_ca_topic_score_gemma":0.00001534733,"domain_scores_codex":[0.9986175,0.000008357141,0.0005636819,0.0001382401,0.0003077815,0.0003644579],"domain_scores_gemma":[0.9990528,0.00002077785,0.0002679126,0.0002276337,0.0004134396,0.00001745925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001171961,0.0001924048,0.00119654,0.004891556,0.0000750308,4.252804e-8,0.00437194,0.1616033,0.0005193715,0.005069287,0.02627302,0.7956903],"study_design_scores_gemma":[0.0004823035,0.000003586237,0.002300842,0.00002844142,0.00005068431,4.88237e-7,0.001060153,0.84306,0.00006604569,0.00007054545,0.1526411,0.000235849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008403251,0.00007186141,0.9767513,0.01152246,0.0006297569,0.001444319,0.000008476552,0.0002632321,0.0009053042],"genre_scores_gemma":[0.9793601,0.000003362535,0.005367015,0.01336868,0.0005514878,0.0006902609,0.0005698279,0.00001219472,0.00007703945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9713843,"threshold_uncertainty_score":0.65544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325648758186621,"score_gpt":0.2328679527158756,"score_spread":0.2003030768972135,"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."}}