{"id":"W2261807074","doi":"10.1007/978-0-387-39940-9_2620","title":"Facility-Location Problem","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Facility location problem; Computer science; Location model; Emergency response; Operations research; Transport engineering; Engineering; Medical emergency","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007131167,0.0004931224,0.0006101915,0.0005216291,0.000113583,0.00009643236,0.0005042306,0.0002128397,0.001028491],"category_scores_gemma":[0.00008440619,0.0004954915,0.0001572726,0.0001854712,0.00007317805,0.0009130937,0.0002293657,0.0002706428,0.003498925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007460006,"about_ca_system_score_gemma":0.00007458396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001922647,"about_ca_topic_score_gemma":0.0003855159,"domain_scores_codex":[0.9970877,0.00001279458,0.001154789,0.0006682439,0.0007699654,0.0003065591],"domain_scores_gemma":[0.9978207,0.00001963013,0.0005132253,0.001099386,0.0005167695,0.0000303052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004710693,0.0001760924,0.0001352483,0.009675725,0.000186973,0.00001579015,0.00007246724,0.001376468,0.00001507375,0.6773755,0.2751133,0.03581023],"study_design_scores_gemma":[0.0002314488,0.00001293392,0.00007087783,0.0005326277,0.0001474402,8.086059e-7,0.00005411281,0.0007485441,7.152888e-7,0.001149657,0.9965712,0.000479675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004659208,0.001191368,0.0009729955,0.0002668061,0.001482792,0.001426925,0.0003695606,0.000209723,0.9940332],"genre_scores_gemma":[0.004951646,0.001213559,0.0002244,0.0003389879,0.002078202,0.0000960226,0.008172783,0.00006762317,0.9828568],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7214578,"threshold_uncertainty_score":0.9998847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272142434539547,"score_gpt":0.220189844665527,"score_spread":0.1974684203201315,"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."}}