{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000891176,0.0006755914,0.001489758,0.0006838985,0.001361897,0.001782451,0.001281467,0.001210405,0.005415538],"category_scores_gemma":[0.002642343,0.0005313851,0.000853769,0.002392829,0.0008515749,0.003102163,0.001454507,0.001145483,0.0006899119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715557,"about_ca_system_score_gemma":0.001007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005060822,"about_ca_topic_score_gemma":0.004450021,"domain_scores_codex":[0.9990246,0.000337992,0.00004804053,0.0002193081,0.0001314814,0.0002386042],"domain_scores_gemma":[0.9984363,0.0008960458,0.0002204003,0.0001340174,0.0001594933,0.0001537055],"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":[0.0004164421,0.0001825204,0.0013498,0.0004311029,0.00008873812,0.0003954023,0.0003192805,0.7870076,0.002118629,0.1328974,0.01640326,0.0583898],"study_design_scores_gemma":[0.000113651,0.0001014865,0.0007066196,0.00004681662,0.00003771513,0.0003985185,0.0003736076,0.7379252,0.001792969,0.2412298,0.01724695,0.00002661543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.185086,0.00222293,0.7929647,0.001639005,0.0001340188,0.0002716294,0.001886026,0.0007000575,0.01509557],"genre_scores_gemma":[0.7788049,0.001828893,0.2066863,0.0002390479,0.0002006667,0.0003236682,0.002165587,0.0001733472,0.009577636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005415538,"threshold_uncertainty_score":0.01811677,"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."}}