{"id":"W2900696058","doi":"10.1155/2018/4079230","title":"Pedestrian Patterns at Railway Platforms during Boarding: Evidence from a Case Study in Switzerland","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Doors; Pedestrian; Transport engineering; Cluster (spacecraft); Computer science; Railway system; Process (computing); 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":[0.0001480056,0.0001152151,0.000188887,0.0001449908,0.00005288044,0.00001874356,0.00007352987,0.0000440827,0.00003654028],"category_scores_gemma":[0.00001881285,0.0001055869,0.00005565716,0.0001449092,0.00001096897,0.0006845765,0.000001801933,0.0001664865,0.00000337705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441737,"about_ca_system_score_gemma":0.00001621498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007516468,"about_ca_topic_score_gemma":0.01185164,"domain_scores_codex":[0.9989938,0.000009164198,0.0005510665,0.000101098,0.000213315,0.0001315133],"domain_scores_gemma":[0.9995332,0.00005399734,0.0001562419,0.00009679852,0.00008783896,0.00007191031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003189574,0.00006961362,0.7773601,0.00005665686,0.00005944073,0.002688532,0.02340733,0.1823312,0.01158506,0.000001866146,0.000002812945,0.002118437],"study_design_scores_gemma":[0.002432516,0.0002238294,0.9855334,0.0002430308,0.00004472327,0.0001699403,0.006689639,0.00207404,0.002376354,0.00005718492,0.000008529969,0.0001468491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947482,0.0001046862,0.004603828,0.00001258655,0.0003355218,0.0001485838,0.000008947371,0.000028141,0.000009463572],"genre_scores_gemma":[0.9990214,0.0001070834,0.0006945822,0.000005243678,0.0001313407,0.000003880407,0.000006280006,0.00001946751,0.00001076055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2081733,"threshold_uncertainty_score":0.6613492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762391704988659,"score_gpt":0.2696076026384748,"score_spread":0.2519836855885882,"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."}}