{"id":"W1976003376","doi":"10.1080/19439962.2010.488316","title":"Transit-Based Emergency Evacuation Simulation Modeling","year":2010,"lang":"en","type":"article","venue":"Journal of Transportation Safety & Security","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federal Highway Administration; McMaster University; University of Pittsburgh","keywords":"Emergency evacuation; Transit (satellite); Transport engineering; Population; Transit system; Emergency management; Routing (electronic design automation); Work (physics); Computer science; Operations research; Engineering; Geography; Public transport; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004636313,0.0001422366,0.0001946027,0.0001590166,0.00007163246,0.00001566393,0.0001136157,0.0001369796,0.0003360416],"category_scores_gemma":[0.00002272069,0.0001463792,0.0001913418,0.0002253366,0.00001149035,0.0004770533,4.606172e-7,0.0004512602,0.000005854832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003894015,"about_ca_system_score_gemma":0.00005825513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004427665,"about_ca_topic_score_gemma":0.0003407272,"domain_scores_codex":[0.9984404,0.00002366578,0.000907136,0.00009168968,0.0004015803,0.0001355551],"domain_scores_gemma":[0.9991185,0.00003952576,0.0001756349,0.0001180935,0.0004410574,0.0001071521],"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":[0.00007113111,0.00003917351,0.0006854392,0.00004804137,0.00002518774,0.000002543665,0.0009428611,0.9908248,0.005391196,0.000528099,0.00001814111,0.001423433],"study_design_scores_gemma":[0.0007181119,0.00002825201,0.008046149,0.00001830248,0.00007251353,0.000001756441,0.0000736478,0.9885184,0.0004554732,0.001260557,0.0006573594,0.0001495485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5194108,0.00004578375,0.4795144,0.0001251242,0.0006200307,0.00007098933,0.00002786091,0.00005281586,0.0001321286],"genre_scores_gemma":[0.9976259,0.00007942924,0.001984764,0.00003013333,0.0001465778,0.000001639184,0.0001022501,0.00002542247,0.000003911079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.478215,"threshold_uncertainty_score":0.5969169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009361797175875215,"score_gpt":0.2535021030084972,"score_spread":0.244140305832622,"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."}}