{"id":"W3125300211","doi":"","title":"Optimal Ambulance Location with Random Delays and Travel Times","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Travel time; Randomness; Ambulance service; Computer science; Service (business); Location model; Facility location problem; Operations research; Transport engineering; Engineering; Statistics; Mathematics; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001550759,0.001349509,0.002220935,0.0007636852,0.0007751135,0.002095648,0.002009938,0.002479408,0.003544231],"category_scores_gemma":[0.005757601,0.001425232,0.0009724142,0.001504753,0.001281591,0.001975962,0.001268462,0.001690901,0.0006164437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004352277,"about_ca_system_score_gemma":0.00322221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04076999,"about_ca_topic_score_gemma":0.0217237,"domain_scores_codex":[0.99832,0.0005978608,0.00005403064,0.0003683162,0.0001955208,0.0004642342],"domain_scores_gemma":[0.9981138,0.001018248,0.0003522267,0.0001024306,0.0002469881,0.0001663411],"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":[0.00002366904,0.000008749615,0.0001376373,0.000007152344,0.00000592932,0.00001759028,0.000007556902,0.9959036,0.00008301593,0.002765583,0.0002417221,0.0007977727],"study_design_scores_gemma":[0.00002088571,0.0000193442,0.0001280852,0.00000276023,0.000007230868,0.000008860738,0.00001498444,0.9969169,0.0001016745,0.002482075,0.0002893049,0.000007904237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2388229,0.0008976654,0.7425663,0.001894103,0.0001275128,0.0003027205,0.001907013,0.0006956926,0.01278604],"genre_scores_gemma":[0.9153864,0.0003822298,0.0731772,0.0001364819,0.00004091323,0.0002398857,0.0005926662,0.0001010621,0.009943163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04076999,"threshold_uncertainty_score":0.08106536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006884278471083255,"score_gpt":0.2058983655343879,"score_spread":0.1990140870633047,"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."}}