{"id":"W2060629327","doi":"10.1175/2007jamc1667.1","title":"Momentum Transfer within Canopies","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; U.S. Geological Survey; University of British Columbia; Washington State University","keywords":"Drag coefficient; Canopy; Reynolds stress; Drag; Momentum transfer; Atmospheric sciences; Momentum (technical analysis); Exponential function; Environmental science; Reynolds number; Mechanics; Meteorology; Physics; Mathematics; Turbulence; Geography; Mathematical analysis; Optics; Scattering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001288915,0.0002650228,0.0002268772,0.0007662548,0.0004817223,0.0009249195,0.0002625968,0.0002000367,0.003479381],"category_scores_gemma":[0.0006634662,0.0001091077,0.0001660315,0.0007649434,0.0003120608,0.001053801,0.0006236272,0.0002638494,0.0002839564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005525534,"about_ca_system_score_gemma":0.0003471672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144775,"about_ca_topic_score_gemma":0.009334832,"domain_scores_codex":[0.9998676,0.00000743676,0.00000331052,0.00005546365,0.00002386071,0.00004228891],"domain_scores_gemma":[0.9998081,0.00006161112,0.00002209621,0.00002718847,0.00005404222,0.00002699532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006652073,0.0003258123,0.4997837,0.0002691687,0.0002703384,0.000857505,0.001757106,0.07078439,0.1753395,0.01095897,0.002181953,0.2368064],"study_design_scores_gemma":[0.0000127099,0.0001050867,0.9512044,0.00001515593,0.00002761665,0.0001081219,0.0005093479,0.03708704,0.005961082,0.003431537,0.00150053,0.00003734815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927981,0.00008820919,0.002033165,0.0000329642,0.00000420071,0.00001128718,0.0001497717,0.00005720302,0.004825055],"genre_scores_gemma":[0.9991469,0.00003405045,0.0002712075,0.000005906488,0.000001516531,0.000004596202,0.000103373,0.000005190398,0.0004271454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0144775,"threshold_uncertainty_score":0.02878642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007553759821930093,"score_gpt":0.1910732668997557,"score_spread":0.1835195070778256,"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."}}