{"id":"W4280600364","doi":"10.1016/j.engstruct.2022.114350","title":"Thunderstorm wind load evaluation on storm shelters using wind tunnel testing","year":2022,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Thunderstorm; Storm; Tornado; Meteorology; Wind tunnel; Severe weather; Wind engineering; Environmental science; Aerodynamics; Boundary layer; Wind speed; Planetary boundary layer; Atmospheric sciences; Engineering; Turbulence; Geology; Geography; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004076959,0.0004557295,0.0002774399,0.0006834457,0.0006021641,0.0002779411,0.0003977783,0.0004385462,0.001740124],"category_scores_gemma":[0.000717908,0.0002261985,0.0002921344,0.0003121087,0.000277377,0.0005021146,0.0002748082,0.0002561632,0.0002604086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466553,"about_ca_system_score_gemma":0.0003279024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005909035,"about_ca_topic_score_gemma":0.01381721,"domain_scores_codex":[0.9998063,0.00003991476,0.00001601445,0.00002025855,0.00008150956,0.00003596704],"domain_scores_gemma":[0.9993116,0.000177409,0.00005566914,0.00006918008,0.000287627,0.0000986641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00366298,0.001654994,0.2140607,0.0001977591,0.0001080525,0.00147909,0.001480415,0.1395566,0.5731038,0.0003238806,0.00100408,0.06336769],"study_design_scores_gemma":[0.000218313,0.00882819,0.4464802,0.00004482814,0.000114443,0.0004248202,0.002320205,0.3658389,0.1742563,0.0002469467,0.001161352,0.0000653653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992056,0.000005368411,0.0003770595,0.000002325237,0.000001448575,0.000007679765,0.00004797199,0.00001391592,0.0003386083],"genre_scores_gemma":[0.9992635,0.000008358442,0.0003327125,0.000001899209,6.235246e-7,0.000005594776,0.00007518811,0.000005151776,0.0003071119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005909035,"threshold_uncertainty_score":0.01174927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755959039101318,"score_gpt":0.2335878572885262,"score_spread":0.2060282668975131,"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."}}