{"id":"W2946719591","doi":"10.1111/poms.13053","title":"Collaborative Prepositioning Network Design for Regional Disaster Response","year":2019,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Flow network; Operations research; Pooling; Preparedness; Computer science; Network planning and design; Business; Emergency management; Order (exchange); Economics; Finance; Telecommunications; Engineering; Mathematics; Mathematical optimization; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001856567,0.0008464186,0.0006657483,0.0007359571,0.0007122532,0.001264777,0.001868546,0.001169876,0.006629641],"category_scores_gemma":[0.003607579,0.0005217956,0.0007656304,0.001018742,0.0007499383,0.00211585,0.001508886,0.001022977,0.0006792318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700047,"about_ca_system_score_gemma":0.001077675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004003496,"about_ca_topic_score_gemma":0.004917317,"domain_scores_codex":[0.9987144,0.0005568076,0.00005921838,0.0003100029,0.0002029465,0.0001566321],"domain_scores_gemma":[0.9980938,0.0009414566,0.0003103011,0.0002008599,0.0003139151,0.0001397477],"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":[0.00007635709,0.00005539881,0.0004346895,0.00005351437,0.00001721987,0.00008936971,0.00005639359,0.9520974,0.001991086,0.01835219,0.0009970135,0.02577956],"study_design_scores_gemma":[0.000007995723,0.00006801597,0.00007856981,0.000004324989,0.000009533501,0.00002612883,0.00002882898,0.992891,0.0005955879,0.005018461,0.001263667,0.000007827892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01636874,0.00009417674,0.9796188,0.0001276431,0.0000362994,0.0001100771,0.00008837162,0.0001703498,0.003385552],"genre_scores_gemma":[0.6441107,0.000305882,0.3498977,0.00009758138,0.00004391313,0.0003680604,0.0002133839,0.00007685108,0.004885881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006629641,"threshold_uncertainty_score":0.02217835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292055038561841,"score_gpt":0.2428211752068548,"score_spread":0.2199006248212364,"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."}}