{"id":"W1486075373","doi":"10.1023/a:1002785830512","title":"Modelling The Mean Velocity Profile In The Urban Canopy Layer","year":2000,"lang":"en","type":"article","venue":"Boundary-Layer Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":337,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Canopy; Scale (ratio); Logarithm; Wind speed; Turbulence; Meteorology; Shear velocity; Tree canopy; Length scale; Mechanics; Mathematics; Environmental science; Physics; Mathematical analysis; Geography","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":[0.000281948,0.000384097,0.0004388158,0.0002908291,0.0004503753,0.0008955917,0.0006139392,0.00102842,0.000765405],"category_scores_gemma":[0.0009957113,0.0004256322,0.0004132283,0.0004305021,0.0003988704,0.0008302468,0.0002871887,0.0004900666,0.0001291071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000907545,"about_ca_system_score_gemma":0.0009425495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06584962,"about_ca_topic_score_gemma":0.03552446,"domain_scores_codex":[0.9999157,0.00002186059,0.000003539633,0.00001718797,0.00001073901,0.00003092104],"domain_scores_gemma":[0.9997166,0.000164677,0.00002869269,0.00001370603,0.00004257787,0.00003372179],"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":[0.00005641095,0.0000242764,0.003381013,0.00001337162,0.00001064893,0.0000403252,0.00003589503,0.9915304,0.001710346,0.001044645,0.0001173968,0.002035253],"study_design_scores_gemma":[0.000006351129,0.000005704904,0.001000345,0.000001656423,0.000002529943,0.000002904696,0.00001163945,0.9985459,0.0002071163,0.0001617026,0.00005034515,0.000003829529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672534,0.0001849081,0.02901161,0.000113491,0.00002941483,0.00001920562,0.0001778919,0.0001427325,0.003067403],"genre_scores_gemma":[0.9972993,0.00005528353,0.001930715,0.000006567733,0.000006401437,0.000005767563,0.0000616984,0.00001735255,0.0006169288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06584962,"threshold_uncertainty_score":0.1309327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202601761720059,"score_gpt":0.2350691966685626,"score_spread":0.213043179051362,"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."}}