{"id":"W4362636152","doi":"10.1016/j.cie.2023.109232","title":"Solving jointly districting and resource location and allocation problems: An application to the design of Emergency Medical Services","year":2023,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resource allocation; Resource (disambiguation); Operations research; Computer science; Operations management; Transport engineering; Engineering; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002090771,0.00131737,0.001826517,0.0009193938,0.0009355961,0.001459873,0.001244306,0.001812881,0.002362545],"category_scores_gemma":[0.003915984,0.0008712167,0.001277118,0.001433749,0.0008858956,0.001015097,0.001905152,0.001507406,0.0002462847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315148,"about_ca_system_score_gemma":0.002916239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312427,"about_ca_topic_score_gemma":0.01244795,"domain_scores_codex":[0.9985424,0.0007302876,0.00005871694,0.0002250829,0.0002294404,0.0002141077],"domain_scores_gemma":[0.998224,0.00122607,0.0001347766,0.00007826753,0.0002073042,0.0001296047],"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":[0.00003550887,0.00005614059,0.0005102233,0.00007676466,0.00003876781,0.00007385766,0.00008074591,0.9679518,0.0008439472,0.004664822,0.000420083,0.02524724],"study_design_scores_gemma":[0.00002495887,0.00006628391,0.0001973519,0.0000101694,0.00002471118,0.00004273318,0.0000517172,0.9937261,0.0005357963,0.003673499,0.001636367,0.0000104318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0234124,0.000553247,0.9727501,0.0002841292,0.00003519373,0.0001222401,0.00003105889,0.0001897936,0.002621748],"genre_scores_gemma":[0.3441959,0.0006050998,0.6522769,0.0001095353,0.00007111825,0.0002047416,0.00009284419,0.000111049,0.002332784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01312427,"threshold_uncertainty_score":0.02609581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03897591581680788,"score_gpt":0.2282603045330442,"score_spread":0.1892843887162364,"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."}}