{"id":"W2013738530","doi":"10.1029/2004jf000281","title":"Representation of vegetation and other nonerodible elements in aeolian shear stress partitioning models for predicting transport threshold","year":2005,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Roughness length; Surface finish; Surface roughness; Wind tunnel; Hydraulic roughness; Sediment transport; Erosion; Aeolian processes; Wake; Shear stress; Mechanics; Scaling; Fetch; Wind speed; Geotechnical engineering; Geology; Geometry; Meteorology; Environmental science; Materials science; Sediment; Wind profile power law; Mathematics; Geomorphology; Physics","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":[0.000203756,0.0005365223,0.0003280903,0.0003764455,0.0002383158,0.0006408491,0.0009847165,0.0006129745,0.0006174631],"category_scores_gemma":[0.0004322749,0.0003449411,0.0006835418,0.0002332361,0.0002964366,0.0005825157,0.0005067842,0.0004035937,0.0001930497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005071242,"about_ca_system_score_gemma":0.0004394722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01363722,"about_ca_topic_score_gemma":0.008753196,"domain_scores_codex":[0.9999303,0.00001530293,0.000005966423,0.00001644036,0.00001570882,0.00001633474],"domain_scores_gemma":[0.9998927,0.00003665938,0.00002060923,0.00001195612,0.00002316055,0.00001494776],"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":[0.00002382568,0.00002358334,0.003011701,0.00001062401,0.00001472903,0.00004151386,0.00003465194,0.9865719,0.004599529,0.002049432,0.00005013787,0.003568418],"study_design_scores_gemma":[0.000002260828,0.000006817421,0.0006540154,0.000001874421,0.000002868155,0.000006758557,0.000004977971,0.9986498,0.0001695452,0.000439628,0.00005836827,0.000003162743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8499643,0.0003534667,0.1442992,0.0001552928,0.00002699654,0.0000454639,0.000164575,0.0001876518,0.004803006],"genre_scores_gemma":[0.9902175,0.0001394321,0.008215091,0.00001514465,0.000007764477,0.00004275222,0.0000801248,0.00002792099,0.00125422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01363722,"threshold_uncertainty_score":0.0271157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04645966699266054,"score_gpt":0.3255660688853734,"score_spread":0.2791064018927129,"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."}}