{"id":"W2049079040","doi":"10.1016/j.jweia.2009.06.010","title":"PIV measurements for a complex topographic terrain","year":2009,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ridge; Geology; Particle image velocimetry; Terrain; Turbulence; Flow (mathematics); Scale (ratio); Wake; Geometry; Geomorphology; Geodesy; Meteorology; Geography; Mechanics; Cartography; Physics; 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":[0.0001273107,0.0002057617,0.0002384323,0.0008395415,0.0004127946,0.0004413419,0.0002794168,0.0005272464,0.001616932],"category_scores_gemma":[0.0007698741,0.0002311677,0.000167769,0.0007875534,0.0002345635,0.0004087778,0.0003753663,0.000380459,0.0004860992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954929,"about_ca_system_score_gemma":0.0003378359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004681982,"about_ca_topic_score_gemma":0.01060838,"domain_scores_codex":[0.9998186,0.00001398439,0.000007350362,0.00002694118,0.00008174152,0.00005128701],"domain_scores_gemma":[0.9996268,0.00009037809,0.00002848539,0.00005494505,0.000151826,0.00004755474],"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":[0.002371064,0.0005004216,0.09995463,0.0003698936,0.0001000712,0.001910745,0.0008954478,0.07142927,0.671239,0.00153538,0.005524969,0.1441692],"study_design_scores_gemma":[0.00009092491,0.0004498867,0.4580049,0.00004987817,0.00005198463,0.001552235,0.0007093917,0.3864471,0.1474657,0.0008119807,0.004221864,0.0001442158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775096,0.0001211088,0.01546578,0.00006924602,0.00005862951,0.00003599432,0.001610289,0.0003040407,0.004825363],"genre_scores_gemma":[0.9964975,0.00002953055,0.002894299,0.000005721461,0.000005153016,0.000004601902,0.0003018735,0.00001291916,0.0002485165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004681982,"threshold_uncertainty_score":0.009309471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03530154321236139,"score_gpt":0.2192265827556365,"score_spread":0.1839250395432751,"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."}}