{"id":"W1975127489","doi":"10.1007/s10546-010-9519-7","title":"Flux Footprints in the Convective Boundary Layer: Large-Eddy Simulation and Lagrangian Stochastic Modelling","year":2010,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Natural Science Foundation of China","keywords":"Crosswind; Convective Boundary Layer; Footprint; Flux (metallurgy); Mechanics; Large eddy simulation; Planetary boundary layer; Physics; Boundary layer; Turbulence; Eddy covariance; Upstream (networking); Meteorology; Convection; Wind speed; Geometry; Geology; Mathematics; Engineering; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009183529,0.0002512261,0.0002962135,0.00008009879,0.000653911,0.0001016261,0.0002934686,0.0001828614,0.0004801078],"category_scores_gemma":[0.0001039558,0.0001912262,0.00006737874,0.0002279595,0.0006728873,0.0002283355,0.0002446257,0.0005845902,0.0001826279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004892349,"about_ca_system_score_gemma":0.00002985852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000277007,"about_ca_topic_score_gemma":0.002125245,"domain_scores_codex":[0.9981416,0.0001980366,0.0002914472,0.0005212102,0.0002829153,0.0005648103],"domain_scores_gemma":[0.9990612,0.0004231758,0.0000905183,0.0003239147,0.00001802828,0.00008311345],"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":[0.0009705268,0.001390423,0.2240449,0.00008558969,0.0003707775,0.0002127249,0.05223937,0.6247436,0.04558835,0.01046159,0.001782577,0.03810959],"study_design_scores_gemma":[0.004031239,0.0006335817,0.3221923,0.00002602323,0.0001681931,0.0001192023,0.00205591,0.5233201,0.0004783912,0.03769714,0.1081615,0.001116395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724534,0.0001715606,0.02229472,0.00085569,0.0004133445,0.0004181481,0.00001506747,0.00004309961,0.003334928],"genre_scores_gemma":[0.9978861,0.000005488168,0.0008124307,0.0009004329,0.0001327417,0.00004587644,0.000009172299,0.00002185481,0.0001859225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.106379,"threshold_uncertainty_score":0.7797979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922496875100443,"score_gpt":0.2632915077307202,"score_spread":0.2440665389797158,"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."}}