{"id":"W2590304504","doi":"10.1615/tsfp8.460","title":"CHARACTERIZING VORTICAL STRUCTURES IN THE LOWER LOG REGION OF THE ATMOSPHERIC BOUNDARY LAYER USING LARGE-SCALE PARTICLE TRACKING VELOCIMETRY","year":2013,"lang":"en","type":"article","venue":"","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Calgary","funders":"","keywords":"Boundary layer; Vorticity; Physics; Particle image velocimetry; Particle tracking velocimetry; Planetary boundary layer; Mechanics; Reynolds number; Velocimetry; Gaussian; Acceleration; Vortex; Computational physics; Classical mechanics; Turbulence","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":[0.0002261215,0.0001201786,0.0001251824,0.0006454339,0.0003341072,0.0003487648,0.0001367161,0.0001848654,0.0003921657],"category_scores_gemma":[0.0003618477,0.0001022222,0.00007114786,0.0003511678,0.0002015215,0.0002933608,0.0001993389,0.0002081429,0.0000695101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841858,"about_ca_system_score_gemma":0.0002785606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005073443,"about_ca_topic_score_gemma":0.00908757,"domain_scores_codex":[0.999961,0.000006335401,0.000002057812,0.000009535956,0.00001364645,0.00000751444],"domain_scores_gemma":[0.9999043,0.00004325971,0.00001751633,0.00000708289,0.00001507481,0.00001288251],"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":[0.0003192091,0.000252554,0.203698,0.0001310746,0.00003724592,0.0003143912,0.0005558553,0.03933663,0.6489434,0.001553742,0.0006092149,0.1042487],"study_design_scores_gemma":[0.00004647649,0.0001993482,0.5856563,0.00002307074,0.0000245886,0.0001803243,0.0002248285,0.3501945,0.06078645,0.001199534,0.001412891,0.00005180784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810107,0.00008318364,0.01765034,0.00002144203,0.000004519414,0.00002379465,0.0002208617,0.0001480797,0.0008370663],"genre_scores_gemma":[0.9866343,0.00004588196,0.01287745,0.000007654274,0.000003073331,0.00001362218,0.0002298495,0.00001225415,0.0001760295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005073443,"threshold_uncertainty_score":0.01008779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814531863019678,"score_gpt":0.2347469805092945,"score_spread":0.2166016618790977,"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."}}