{"id":"W3011499731","doi":"10.1109/ghtc46095.2019.9033012","title":"Scenario Planning for Disaster Relief Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Dependency (UML); Computer science; Emergency management; Disaster area; Transport engineering; Flow network; Operations research; Engineering; Geography; Mathematical optimization; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002124679,0.0001064041,0.0001055415,0.00008375628,0.00008408708,0.0001416586,0.0001507071,0.00003676579,0.001910395],"category_scores_gemma":[0.00001975024,0.00009192597,0.00006514541,0.0001578722,0.00001008917,0.0005232443,0.00009746714,0.00004861517,0.001696914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001292222,"about_ca_system_score_gemma":0.000003423448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000217776,"about_ca_topic_score_gemma":0.00008560266,"domain_scores_codex":[0.9992421,0.000001920657,0.0001862486,0.0002251769,0.0001122883,0.0002322349],"domain_scores_gemma":[0.9996609,0.00001155537,0.00003205474,0.0002233608,0.00006471018,0.000007420514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001680593,0.0001844471,0.0742149,0.0006732781,0.00008485038,0.000001228236,0.0001699676,0.2558067,0.00005336815,0.259645,0.3958783,0.01311998],"study_design_scores_gemma":[0.0003725253,0.000006908725,0.004394791,0.00001845682,0.00001376324,5.373943e-8,0.0002905646,0.4154344,0.000001407358,0.0004133291,0.5788982,0.0001555984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2299254,0.000112499,0.2126297,0.005238298,0.004231461,0.001920453,0.000001414536,0.0005670314,0.5453737],"genre_scores_gemma":[0.9653212,0.000002179234,0.0003907433,0.006166429,0.0005815548,0.00003814886,0.0000593465,0.00001695513,0.02742347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7353957,"threshold_uncertainty_score":0.9990804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287447593630597,"score_gpt":0.2349512405908022,"score_spread":0.2120767646544962,"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."}}