{"id":"W2975224534","doi":"10.1016/j.ssci.2019.08.020","title":"Fairness and efficiency in pedestrian emergency evacuation: Modeling and simulation","year":2019,"lang":"en","type":"article","venue":"Safety Science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Motor Association Foundation for Traffic Safety","keywords":"Pedestrian; Poison control; Transport engineering; Emergency evacuation; Computer science; Human factors and ergonomics; Engineering; Medical emergency; Simulation; Medicine; Geography","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":[0.003210417,0.000609347,0.00122117,0.001083351,0.001093427,0.001853665,0.00138687,0.001808229,0.00224352],"category_scores_gemma":[0.01270699,0.000613559,0.0009524608,0.0008606969,0.001913948,0.001956362,0.001527177,0.001447874,0.0001826713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0031024,"about_ca_system_score_gemma":0.002501112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03938314,"about_ca_topic_score_gemma":0.01578125,"domain_scores_codex":[0.9989766,0.0004885606,0.00002885741,0.0001256413,0.0001195627,0.0002607986],"domain_scores_gemma":[0.990986,0.007084658,0.0006303626,0.0002470654,0.000562657,0.0004893244],"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":[0.0000850916,0.0001053128,0.001602378,0.00001623327,0.00001500024,0.00003136059,0.0001147017,0.9761703,0.0001559412,0.0196196,0.0003526374,0.00173155],"study_design_scores_gemma":[0.00001394243,0.0000168899,0.000428305,0.000003666117,0.000006004143,0.00000783421,0.00004435107,0.9944242,0.00007027354,0.004837037,0.0001397108,0.000007826891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7965893,0.001083398,0.1847768,0.002054432,0.0002600239,0.0001361528,0.0002437681,0.0001150302,0.01474102],"genre_scores_gemma":[0.9921106,0.0001792788,0.004758255,0.00005230338,0.00004828911,0.00003308613,0.00002869194,0.00002089078,0.002768817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03938314,"threshold_uncertainty_score":0.07830781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044771723885079,"score_gpt":0.2548577066591696,"score_spread":0.2444099894203188,"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."}}