{"id":"W2081028379","doi":"10.1016/j.jweia.2011.01.019","title":"A parametric study of downburst line near-surface outflows","year":2011,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro; Institute for Catastrophic Loss Reduction","keywords":"Outflow; Wind speed; Meteorology; Environmental science; Event (particle physics); Vortex; Line (geometry); Parametric statistics; Large eddy simulation; Mechanics; Atmospheric sciences; Geology; Turbulence; Physics; Geometry; Mathematics","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":[0.0002725802,0.0004038779,0.0005295673,0.0002669343,0.0005810673,0.0008768143,0.0007105915,0.001134751,0.002013025],"category_scores_gemma":[0.00159175,0.000270935,0.0005036478,0.0002481182,0.0006980983,0.0006214129,0.0007520546,0.0006937076,0.0001213417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003793507,"about_ca_system_score_gemma":0.0003281501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003831652,"about_ca_topic_score_gemma":0.001962806,"domain_scores_codex":[0.9998521,0.0000404258,0.000007436758,0.00002402868,0.00002913867,0.00004703525],"domain_scores_gemma":[0.9992831,0.000433675,0.00008101798,0.00006563502,0.00005578421,0.0000808074],"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":[0.0007252962,0.0004410324,0.0126961,0.00008674692,0.00004444658,0.001773235,0.0003847523,0.9532559,0.02082016,0.002597834,0.0005029971,0.006671631],"study_design_scores_gemma":[0.00004587882,0.0002431556,0.003925209,0.000006855199,0.00001353605,0.000114751,0.0001432735,0.9930252,0.001996524,0.0002363362,0.0002340403,0.00001529649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910544,0.00003993295,0.003758016,0.00005840977,0.00001493622,0.00002048373,0.00008952233,0.00006048725,0.004903857],"genre_scores_gemma":[0.9992117,0.00001357296,0.0003190799,0.000004070029,0.00000209068,0.000004488489,0.00002452223,0.000006448081,0.0004138704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003831652,"threshold_uncertainty_score":0.007618725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05918028385921294,"score_gpt":0.214138028220298,"score_spread":0.1549577443610851,"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."}}