{"id":"W2772497726","doi":"10.1016/j.apm.2017.12.009","title":"LP-rounding approximation algorithms for two-stage stochastic fault-tolerant facility location problem","year":2017,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Rounding; Facility location problem; Algorithm; Mathematical optimization; Computer science; Stage (stratigraphy); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002717144,0.001413446,0.002377695,0.0008774207,0.0007705208,0.002203002,0.002338531,0.002072628,0.006500077],"category_scores_gemma":[0.007739063,0.000807332,0.001345477,0.0016279,0.0009288542,0.002048462,0.001775326,0.003016904,0.0006334893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101682,"about_ca_system_score_gemma":0.002517076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009916399,"about_ca_topic_score_gemma":0.007075621,"domain_scores_codex":[0.9985617,0.0006142506,0.00006529058,0.000223736,0.000236461,0.0002987073],"domain_scores_gemma":[0.9947949,0.003981601,0.0003071887,0.0002827853,0.0004269858,0.0002065743],"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":[0.000143018,0.00009340839,0.0002985821,0.0001145127,0.00003380155,0.0000443462,0.0000440883,0.9599294,0.0002761393,0.01181376,0.002720698,0.02448819],"study_design_scores_gemma":[0.00002024612,0.00002192951,0.00004353786,0.000008816795,0.000007600421,0.00001112364,0.00001444674,0.991241,0.0001030279,0.008313718,0.0002110114,0.000003602793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02118097,0.0004942346,0.9720796,0.0005802213,0.0001128574,0.00008575569,0.0002521454,0.0004229529,0.004791179],"genre_scores_gemma":[0.5655007,0.000554817,0.4255328,0.0004161637,0.0001748785,0.0004760982,0.0009335834,0.0003005372,0.006110453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009916399,"threshold_uncertainty_score":0.02174491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09005709032930408,"score_gpt":0.2934561660149855,"score_spread":0.2033990756856814,"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."}}