{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001890927,0.0001365124,0.0001301961,0.000174731,0.0002416147,0.0001220983,0.0001335318,0.00003459913,0.00006355805],"category_scores_gemma":[0.00005118519,0.0001103911,0.00003165856,0.0003107228,0.00004982965,0.0006269851,0.00002891024,0.0004181488,0.00009614497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001325002,"about_ca_system_score_gemma":0.0001297741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002800955,"about_ca_topic_score_gemma":0.002681176,"domain_scores_codex":[0.9983252,0.000007132192,0.0002427087,0.0001781958,0.0002373058,0.001009464],"domain_scores_gemma":[0.9995311,0.00001066221,0.00008828106,0.0001081795,0.0002439073,0.00001781677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002139532,0.0003056538,0.01684267,0.0002099861,0.0004914541,0.00001469268,0.0002550099,0.01475424,0.0002548007,0.8783302,0.002541627,0.08386013],"study_design_scores_gemma":[0.0455097,0.001267219,0.3118863,0.000502002,0.00156218,0.0007204696,0.04812598,0.1660495,0.0004549916,0.2000787,0.2188539,0.004989118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5351182,0.001514381,0.4526985,0.001747031,0.0002660177,0.0002964935,3.21593e-7,0.00006954523,0.008289526],"genre_scores_gemma":[0.9968351,0.0004090628,0.0002087027,0.0004336649,0.0005452998,0.00000366737,0.000009080311,0.00001459463,0.001540898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6782516,"threshold_uncertainty_score":0.450162,"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."}}