{"id":"W1967726020","doi":"10.1016/j.orl.2008.02.001","title":"A new formulation for the conditional -median and -center problems","year":2008,"lang":"en","type":"article","venue":"Operations Research Letters","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Center (category theory); Computer science; Mathematical optimization; Mathematics; Algorithm","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":[0.0004580965,0.00006608055,0.0000505856,0.0001812365,0.001130272,0.0002312616,0.0001319828,0.00002537327,0.0003681713],"category_scores_gemma":[0.0001275588,0.00004948227,0.00002938411,0.0002736794,0.00006701601,0.0007747495,0.000067774,0.000124828,0.0001793824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002680285,"about_ca_system_score_gemma":0.0000283459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533918,"about_ca_topic_score_gemma":0.001958321,"domain_scores_codex":[0.9991452,0.00001194769,0.0001445489,0.0001683737,0.0003201372,0.0002097563],"domain_scores_gemma":[0.999585,0.00004457958,0.000007836913,0.0001483723,0.0001975963,0.00001658754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003364003,0.00009528343,0.004210041,0.000122147,0.0000639555,0.000001668399,0.0005810604,0.04990447,0.001769456,0.1407102,0.7963815,0.006126633],"study_design_scores_gemma":[0.0008537609,0.00001094331,0.0191368,0.00001062339,0.00000894665,0.000001858755,0.0001694381,0.3460893,0.00001560362,0.0007093211,0.6328682,0.0001252338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2409719,0.0001057622,0.2485157,0.5030444,0.0004915496,0.003778073,0.00002634817,0.0001085136,0.002957805],"genre_scores_gemma":[0.9895598,0.00004221928,0.0008327603,0.006263371,0.0006994068,0.0003441608,0.000287156,0.00001045904,0.001960668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7485879,"threshold_uncertainty_score":0.8693251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1198496466162401,"score_gpt":0.3206096362429959,"score_spread":0.2007599896267557,"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."}}