{"id":"W4409859844","doi":"10.1016/j.buildenv.2025.113094","title":"Aerodynamic and dynamic response of platform screen doors to high-speed trains passing through underground stations without deceleration: A field study","year":2025,"lang":"en","type":"article","venue":"Building and Environment","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Doors; Train; Aerodynamics; Engineering; Environmental science; Automotive engineering; Field (mathematics); Elevator; Computer science; Aerospace engineering; Marine engineering; Structural engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003373477,0.000177286,0.0002284191,0.0001599975,0.0001923711,0.00007746825,0.0001009986,0.00007319352,0.000009689036],"category_scores_gemma":[0.0000290784,0.0001806638,0.00002600331,0.0001615124,0.00006915608,0.000122439,0.0001116793,0.0001573769,0.00000122764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013868,"about_ca_system_score_gemma":0.00002092312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001940566,"about_ca_topic_score_gemma":0.0005073698,"domain_scores_codex":[0.9989366,0.00004339435,0.000289553,0.0002849535,0.0002020282,0.0002435056],"domain_scores_gemma":[0.9994591,0.0001872686,0.00002687891,0.0002376962,0.0000107131,0.00007831433],"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":[0.0007707342,0.0004434742,0.01356081,0.0002263795,0.0005924198,0.00002178199,0.006592216,0.6678779,0.2609113,0.01078163,0.0001398846,0.03808158],"study_design_scores_gemma":[0.001375252,0.0005045889,0.2991013,0.0001111883,0.00007061446,0.000004514407,0.002105801,0.6941639,0.0003069396,0.00171681,0.000185424,0.0003537603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8462683,0.0001490702,0.1525415,0.0004438124,0.00005008953,0.0003854707,0.00002348566,0.00003832136,0.00009994061],"genre_scores_gemma":[0.9903618,0.0003062545,0.009009573,0.00004476765,0.000007170954,0.00002293314,0.00001113014,0.00002366761,0.0002127821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2855405,"threshold_uncertainty_score":0.7367254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241476776614876,"score_gpt":0.2743878258841857,"score_spread":0.2619730581180369,"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."}}