{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001235919,0.00108297,0.0008816091,0.001200854,0.000908323,0.003493236,0.004936411,0.002530332,0.008276039],"category_scores_gemma":[0.00414498,0.0007063234,0.0008767767,0.002577961,0.00115453,0.003445036,0.001797354,0.001913302,0.003104492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002499644,"about_ca_system_score_gemma":0.001941819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0252406,"about_ca_topic_score_gemma":0.01478529,"domain_scores_codex":[0.9982705,0.0004768771,0.00008231682,0.0004126715,0.0004005358,0.0003570453],"domain_scores_gemma":[0.9984459,0.0004975997,0.0003751103,0.0001642727,0.000352594,0.0001645037],"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":[0.00006245865,0.00004876529,0.001683083,0.0000644316,0.0000379345,0.0002018356,0.0002099217,0.8266101,0.0002870809,0.1497332,0.00560304,0.0154581],"study_design_scores_gemma":[0.00004645458,0.00007635771,0.00115671,0.00006122445,0.00004997342,0.0003458468,0.0001991499,0.9093606,0.0002871576,0.05427084,0.03407665,0.00006896904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1543985,0.01018106,0.7093402,0.007605458,0.0008491814,0.0004291352,0.006433684,0.00123275,0.10953],"genre_scores_gemma":[0.8445771,0.007842069,0.07266448,0.0005575771,0.0004324892,0.0003694122,0.00354525,0.0001777453,0.06983385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0252406,"threshold_uncertainty_score":0.05018735,"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."}}