{"id":"W4235392953","doi":"10.1002/net.20258","title":"Collection depots facility location problems in trees","year":2008,"lang":"en","type":"article","venue":"Networks","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Queen's University","funders":"","keywords":"Facility location problem; Center (category theory); Generalization; Computer science; Set (abstract data type); Mathematical optimization; Tree (set theory); Time complexity; Mathematics; Operations research; Combinatorics; Algorithm","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":[0.0002617632,0.0001152582,0.0001156731,0.0001726445,0.0001843588,0.00004312217,0.0001109921,0.00006663917,0.0002197695],"category_scores_gemma":[0.00006961288,0.0001189419,0.0000298301,0.001347028,0.00003594049,0.0005245571,0.00005091471,0.0001062371,0.0002823345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006179897,"about_ca_system_score_gemma":0.00001770376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00350906,"about_ca_topic_score_gemma":0.01986036,"domain_scores_codex":[0.9990674,0.00001307005,0.0002812478,0.0002476395,0.0001709218,0.0002197729],"domain_scores_gemma":[0.9996129,0.000009560953,0.00004724424,0.000188779,0.000132552,0.000008962682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002556867,0.0001912603,0.2001094,0.0001515274,0.00001107591,0.000002823604,0.0001410921,0.7687284,0.000005374359,0.0004429763,0.021197,0.008993541],"study_design_scores_gemma":[0.0005364727,0.000008372524,0.5005432,0.00003166605,0.00001046595,0.000001017375,0.00009094166,0.4481043,0.000003103836,0.0002597157,0.05017652,0.0002342058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8832929,0.0005694242,0.07668455,0.001456441,0.001651436,0.001330708,0.000001303106,0.0004891579,0.03452408],"genre_scores_gemma":[0.9980488,0.0000890361,0.00002622823,0.0004775565,0.0002390205,0.00007079475,0.00006868249,0.000006350513,0.000973559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3206241,"threshold_uncertainty_score":0.9980246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03086770173840505,"score_gpt":0.2085566839289717,"score_spread":0.1776889821905667,"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."}}