{"id":"W4402611511","doi":"10.1016/j.buildenv.2024.112103","title":"Analysis of urban wind conditions and wildfire smoke dispersion for downtown Montréal using computational fluid dynamics","year":2024,"lang":"en","type":"article","venue":"Building and Environment","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Environment and Climate Change Canada","keywords":"Downtown; Computational fluid dynamics; Environmental science; Smoke; Dispersion (optics); Meteorology; Wind speed; Marine engineering; Geography; Engineering; Aerospace engineering; Physics; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008844963,0.00009946647,0.0001493043,0.00006046417,0.0002111225,0.00002485923,0.00003351374,0.00003165507,0.0000818089],"category_scores_gemma":[0.000003599521,0.00008628789,0.00006774649,0.0001067545,0.0001945128,0.00008042382,0.00009513376,0.0000354286,0.000001403536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001020225,"about_ca_system_score_gemma":0.000002033612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003191513,"about_ca_topic_score_gemma":0.00001880612,"domain_scores_codex":[0.999345,0.000009922616,0.0001361852,0.0002511771,0.0001358766,0.0001218577],"domain_scores_gemma":[0.9997918,0.00006663341,0.0000270219,0.00006359407,8.371294e-7,0.00005013741],"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":[0.00002314769,0.0001293134,0.3757624,0.00006728732,0.0008842759,0.000006348568,0.001487854,0.5818396,0.01083425,0.001343051,0.0007442866,0.02687826],"study_design_scores_gemma":[0.0001365162,0.000040119,0.2710652,0.00002612537,0.0004568107,0.000002628498,0.0001923651,0.7261858,0.00005597489,0.0003689902,0.001357904,0.0001115452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990896,0.001024803,0.007433041,0.0003060682,0.00003447068,0.00009801782,0.000132712,0.00001155618,0.00006326343],"genre_scores_gemma":[0.9967659,0.000198607,0.002864843,0.00002727489,0.00001944885,0.000004385978,0.00004603292,0.000007159916,0.00006631989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1443462,"threshold_uncertainty_score":0.3518718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009593471246988176,"score_gpt":0.2299515216024343,"score_spread":0.2203580503554461,"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."}}