{"id":"W2736725188","doi":"","title":"Ambulance Location and Relocation Models","year":2000,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Relocation; Queueing theory; Computer science; Server; Probabilistic logic; Operations research; Stochastic modelling; Engineering; Computer network; Artificial intelligence; Mathematics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001843872,0.0001143474,0.00009265908,0.0001013253,0.0002467472,0.0001211427,0.0001060355,0.00005776298,0.0004795386],"category_scores_gemma":[0.00002220339,0.0001179065,0.00002318275,0.0003207989,0.00007559833,0.0009093613,0.00001908218,0.00008018823,0.000420512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003710744,"about_ca_system_score_gemma":0.000006070714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001119452,"about_ca_topic_score_gemma":0.0001765589,"domain_scores_codex":[0.9992526,0.000007917982,0.0001857847,0.0002425555,0.0001562264,0.000154885],"domain_scores_gemma":[0.9996623,0.000005959567,0.00003269663,0.0001990798,0.00008803267,0.00001194664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005526136,0.00009178556,0.001765614,0.0003251053,0.00002840392,0.000002370687,0.0005745014,0.02221447,0.00006236045,0.7305596,0.01181746,0.2325031],"study_design_scores_gemma":[0.0008215032,0.00001243192,0.04117943,0.00004433058,0.00006289432,0.000002230993,0.0005112397,0.5756742,0.00002501752,0.06473549,0.3163642,0.0005669922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8978862,0.0003576849,0.03199352,0.007591477,0.0002893971,0.0003923321,0.000001305397,0.0003163657,0.06117174],"genre_scores_gemma":[0.9923413,0.0002559048,0.0004733494,0.002662631,0.0002785579,0.00002809642,0.00004602042,0.00001234265,0.003901752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6658241,"threshold_uncertainty_score":0.5404971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128354365120332,"score_gpt":0.1839178209924932,"score_spread":0.17108238448046,"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."}}