{"id":"W7116116381","doi":"10.82417/8bws-s539","title":"Characteristics of street canyon flow using large-eddy simulation with a drag-porosity modelled atmospheric boundary layer","year":2025,"lang":"en","type":"other","venue":"Espace ÉTS (ETS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Turbulence; Planetary boundary layer; Airflow; Drag; Canyon; Boundary layer; Urban climatology; Large eddy simulation; Clear-air turbulence; Computational fluid dynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000256623,0.0005382043,0.0005273545,0.0005109907,0.0004976167,0.0007026165,0.0005359715,0.0008409475,0.001224093],"category_scores_gemma":[0.0005700684,0.0001853065,0.0006049232,0.0004837425,0.0004811042,0.0003407307,0.0004140879,0.0005233388,0.0001171784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004484355,"about_ca_system_score_gemma":0.0008670052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02112382,"about_ca_topic_score_gemma":0.01172709,"domain_scores_codex":[0.9998989,0.00002342428,0.000008322018,0.00001687979,0.00002603391,0.00002646584],"domain_scores_gemma":[0.9996778,0.000141408,0.00003452181,0.00002634351,0.00005769738,0.00006227589],"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":[0.000184405,0.0002294163,0.00930427,0.00005907425,0.0000452811,0.0003464748,0.00009644034,0.9786832,0.00616844,0.0009233822,0.0006290998,0.003330491],"study_design_scores_gemma":[0.00002373951,0.00002248812,0.001703035,0.000004160197,0.000004097255,0.00000819617,0.00002320841,0.9975578,0.000463728,0.00007481942,0.0001083213,0.000006449022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883798,0.000124008,0.006758309,0.0001296248,0.00003828245,0.00004106285,0.0004305175,0.0003648524,0.003733483],"genre_scores_gemma":[0.9950487,0.00004303856,0.004012081,0.00001814999,0.000006154089,0.0000253645,0.0003785617,0.00002699636,0.000440965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02112382,"threshold_uncertainty_score":0.04200172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274765826272946,"score_gpt":0.2608029781585324,"score_spread":0.2480553198958029,"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."}}