{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003673125,0.0006632949,0.0005394758,0.0005939105,0.0006160591,0.0009999969,0.00127776,0.001005974,0.004597009],"category_scores_gemma":[0.001148643,0.0004403938,0.0008025232,0.0007299272,0.0004436253,0.0008285511,0.0008492829,0.000809526,0.0005786424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531381,"about_ca_system_score_gemma":0.001653637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04337721,"about_ca_topic_score_gemma":0.02411682,"domain_scores_codex":[0.9997417,0.00009312788,0.00001771072,0.00004613973,0.00005819418,0.00004313162],"domain_scores_gemma":[0.9995593,0.0001950626,0.00004802518,0.000026401,0.0001322864,0.00003887055],"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":[0.00001391626,0.00001379604,0.0003119813,0.00001018537,0.000008591388,0.0000274152,0.00002173923,0.9947941,0.0001653847,0.003283258,0.0002661341,0.001083402],"study_design_scores_gemma":[0.000005168752,0.000005990096,0.00007419116,0.00000278542,0.00000271306,0.000004964174,0.00001068349,0.9982839,0.0000635912,0.0007322612,0.0008112898,0.00000241164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3306809,0.0008983791,0.565214,0.001282862,0.0002387532,0.0005848267,0.005894378,0.002464017,0.09274193],"genre_scores_gemma":[0.9207394,0.0007259013,0.05377805,0.00009131184,0.00003675888,0.0005148263,0.002330008,0.0001349447,0.0216489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04337721,"threshold_uncertainty_score":0.08624947,"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."}}