{"id":"W4412755047","doi":"10.11159/iccste25.186","title":"Analysis of the Interaction between Passengers and Buses at a Congested Bus Stop through Simulation to Reduce Congestion Rate","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Transport engineering; Computer network; Simulation; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00006572637,0.0001201208,0.0001636389,0.0001590042,0.00004982199,0.00003309065,0.000131527,0.00004985417,0.00001245538],"category_scores_gemma":[0.00005526983,0.00008995397,0.00005568708,0.0004019883,0.00003169382,0.0001941233,0.00001365697,0.000105105,1.091599e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000565306,"about_ca_system_score_gemma":0.000008144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002192509,"about_ca_topic_score_gemma":0.00008424729,"domain_scores_codex":[0.9993445,0.000003635962,0.0002775371,0.0001361374,0.0001651335,0.00007308475],"domain_scores_gemma":[0.9995075,0.0000780815,0.0001010649,0.0000503063,0.000240568,0.00002245895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006328381,0.000004604001,0.06021556,0.0001493641,0.0005896744,6.328612e-8,0.001445162,0.8238062,0.08397644,0.02860696,0.000008295155,0.001134378],"study_design_scores_gemma":[0.0001731484,0.0000102439,0.6094537,0.000150591,0.0002027892,2.356729e-7,0.0001836696,0.3727991,0.01658758,0.0003277207,0.00003153379,0.00007968262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978791,0.00001294397,0.0007424668,0.0005526594,0.0002634602,0.0001695319,0.0000547469,0.00003724741,0.0002878308],"genre_scores_gemma":[0.9997445,0.00002809028,0.0001002677,0.00002697911,0.00001308463,0.000008986704,0.00002182199,0.000007067641,0.00004923095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5492382,"threshold_uncertainty_score":0.3668217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998893031802342,"score_gpt":0.2701272161368535,"score_spread":0.2501382858188301,"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."}}