{"id":"W4409030688","doi":"10.1016/j.jobe.2025.112425","title":"Approximating CFD simulations of natural ventilation: A deep surrogate model with spatial attention mechanism","year":2025,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Environment and Climate Change Canada","keywords":"Computational fluid dynamics; Natural ventilation; Mechanism (biology); Ventilation (architecture); Environmental science; Computer science; Mechanics; Engineering; Mechanical engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002917915,0.0004904413,0.0004234819,0.0002481144,0.0002037047,0.0004964733,0.0007803582,0.001014733,0.001280755],"category_scores_gemma":[0.001333356,0.0002680992,0.0007755768,0.0002038261,0.000376103,0.0005917585,0.0006308712,0.0006803167,0.0001928146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003618883,"about_ca_system_score_gemma":0.0006368127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007856498,"about_ca_topic_score_gemma":0.00494731,"domain_scores_codex":[0.9998889,0.00002819124,0.000007201306,0.0000259191,0.00002688471,0.00002289075],"domain_scores_gemma":[0.9996872,0.0001652581,0.00003350116,0.00002559029,0.00006478194,0.0000236636],"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":[0.0000346559,0.000027353,0.0009763313,0.0000154369,0.000008732176,0.00004724628,0.00001652674,0.9885937,0.00165598,0.0007932062,0.0001615434,0.007669246],"study_design_scores_gemma":[0.00000144031,0.000006495898,0.00006178867,9.330175e-7,0.000001101719,0.000003407116,0.000001202591,0.9996207,0.0001431216,0.000110053,0.00004860067,0.000001084959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4271125,0.0007259632,0.561456,0.0007641806,0.000178375,0.00006614501,0.0003274292,0.0007899809,0.008579468],"genre_scores_gemma":[0.9780328,0.000173027,0.0192125,0.000128124,0.00002614628,0.00005257531,0.0002229071,0.00003728037,0.002114595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007856498,"threshold_uncertainty_score":0.01562154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004333413435967113,"score_gpt":0.2047831917516462,"score_spread":0.2004497783156791,"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."}}