{"id":"W2100796731","doi":"10.1175/jcli-d-11-00321.1","title":"The Influence of Boundary Layer Processes on the Diurnal Variation of the Climatological Near-Surface Wind Speed Probability Distribution over Land*","year":2012,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Mitacs","keywords":"Wind speed; Skewness; Environmental science; Probability density function; Standard deviation; Planetary boundary layer; Meteorology; Boundary layer; Weibull distribution; Atmospheric sciences; Surface layer; Turbulence kinetic energy; Climatology; Turbulence; Geology; Mathematics; Mechanics; Physics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001376121,0.00009085784,0.0001677245,0.000002616502,0.0004206976,0.00003593748,0.0002780208,0.00004034258,0.000063238],"category_scores_gemma":[0.0005721659,0.00003420262,0.00009072183,0.0001708468,0.0004901164,0.0002657896,0.000148758,0.0002146722,0.00000742729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005881342,"about_ca_system_score_gemma":0.00003012153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001207862,"about_ca_topic_score_gemma":0.000005897662,"domain_scores_codex":[0.9986393,0.0001573514,0.0004295218,0.00006841628,0.000489041,0.0002163405],"domain_scores_gemma":[0.9987419,0.0003509173,0.0006539347,0.0001532761,0.0000631695,0.00003680885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001339413,0.0001726765,0.9887533,0.00002979763,0.00002031449,3.368809e-7,0.0004778869,0.007580932,0.002309535,0.0002146364,0.0001936223,0.0001130423],"study_design_scores_gemma":[0.0001752744,0.00008759091,0.9955586,0.00006292853,0.00002743209,0.00001227099,0.00006150897,0.0000916678,0.001275501,0.0008351586,0.001768226,0.00004388614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977064,0.0001025927,0.000007873852,0.001519827,0.0001429324,0.0001325515,0.00002164543,0.000002550971,0.000363627],"genre_scores_gemma":[0.9996405,0.0001928752,0.00003749048,0.00007024498,0.00004600026,2.714729e-7,3.751189e-7,0.000003160405,0.000009040647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007489264,"threshold_uncertainty_score":0.3235708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501282045939545,"score_gpt":0.2478840723126367,"score_spread":0.2328712518532412,"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."}}