{"id":"W4398206349","doi":"10.3390/fire7060174","title":"Numerical Simulation of Passenger Evacuation and Heat Fluxes in the Waiting Hall of an Ultralarge Railway Station Hub","year":2024,"lang":"en","type":"article","venue":"Fire","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Sichuan Mineral Resources Research Center; Natural Science Foundation of Sichuan Province","keywords":"Marine engineering; Environmental science; Engineering; Computer simulation; Meteorology; Automotive engineering; Simulation; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002733198,0.0005014151,0.0005598934,0.000405476,0.0008571665,0.000646739,0.000705845,0.001503977,0.002209696],"category_scores_gemma":[0.0007421969,0.0002632207,0.0007288519,0.0005181046,0.0007688316,0.0004244211,0.0006477948,0.0007248182,0.000118133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008570236,"about_ca_system_score_gemma":0.0008528206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02992086,"about_ca_topic_score_gemma":0.01940054,"domain_scores_codex":[0.9998837,0.00002417753,0.000004947438,0.0000188437,0.00001463693,0.00005367519],"domain_scores_gemma":[0.9995481,0.0002410842,0.00005817792,0.0000188712,0.00004987781,0.00008380353],"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":[0.0001426281,0.00009645691,0.004629486,0.00002285684,0.00001435406,0.0002780293,0.00007854526,0.9913366,0.001531913,0.0006468778,0.000190904,0.001031277],"study_design_scores_gemma":[0.00001967852,0.00004081527,0.001465952,0.000003510471,0.000005645998,0.0000101406,0.0001194191,0.9978287,0.0002958352,0.0001035256,0.0001002843,0.000006507521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894788,0.00006544458,0.006517195,0.0001569642,0.00004002066,0.00002526935,0.0002051207,0.00005828539,0.003452974],"genre_scores_gemma":[0.9972139,0.00003258797,0.001709356,0.00001474607,0.000004563842,0.0000155499,0.00009376125,0.000006787419,0.0009087808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02992086,"threshold_uncertainty_score":0.05949336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168702463727877,"score_gpt":0.2648901816740261,"score_spread":0.2532031570367473,"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."}}