{"id":"W3140416634","doi":"10.1109/wsc.2009.5429196","title":"Ambulance redeployment: An approximate dynamic programming approach","year":2009,"lang":"en","type":"article","venue":"Proceedings of the 2009 Winter Simulation Conference (WSC)","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Computer science; Dynamic programming; Context (archaeology); Task (project management); Idle; Service (business); Operations research; Linear programming; Quality (philosophy); Real-time computing; Engineering; Operating system; Business; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001210527,0.0008636568,0.001644342,0.0006742416,0.0006063516,0.001850146,0.001486465,0.001614963,0.003601732],"category_scores_gemma":[0.004950162,0.0008344217,0.000652837,0.001151667,0.000859131,0.001302738,0.0009669754,0.001468076,0.0002858903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201956,"about_ca_system_score_gemma":0.002447198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03257544,"about_ca_topic_score_gemma":0.0164308,"domain_scores_codex":[0.9994785,0.0002363471,0.00001694932,0.0000756922,0.00009806469,0.00009451867],"domain_scores_gemma":[0.9981765,0.001308174,0.0001668324,0.00005741158,0.0001931022,0.00009798523],"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":[0.000008628253,0.000005703269,0.00005979663,0.00000503828,0.000003601891,0.000005835072,0.000003624952,0.9973167,0.00002232831,0.001519671,0.00008809492,0.0009610056],"study_design_scores_gemma":[0.000002260013,0.000002945359,0.00001232517,0.000001172722,0.000001174459,0.000001162066,0.000002732726,0.9990357,0.00001119879,0.0008693768,0.00005912229,8.209554e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06440182,0.0006038435,0.9203123,0.001206922,0.00008334841,0.00009580433,0.0002868209,0.0002979989,0.01271113],"genre_scores_gemma":[0.8656073,0.0005247993,0.1279752,0.0002271106,0.00006667099,0.0002659401,0.0002391327,0.0001185184,0.004975264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03257544,"threshold_uncertainty_score":0.06477165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302695950992847,"score_gpt":0.2611452725012371,"score_spread":0.2281183129913086,"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."}}