{"id":"W2132512281","doi":"10.1175/2011jcli4106.1","title":"The Probability Distribution of Land Surface Wind Speeds","year":2011,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; National Center for Atmospheric Research; National Science Foundation","keywords":"Wind shear; Weibull distribution; Wind speed; Atmospheric sciences; Thermal wind; Environmental science; Wind profile power law; Daytime; Meteorology; Planetary boundary layer; Wind gradient; Log wind profile; Climatology; Probability density function; Middle latitudes; Atmospheric instability; Surface layer; Troposphere; Geology; Turbulence; Physics; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006059473,0.00004662642,0.0001044654,0.000002826917,0.0000999378,0.000006840335,0.0001207117,0.00001678532,0.0001243111],"category_scores_gemma":[0.00004382108,0.00002459531,0.00005978882,0.00005713354,0.0001652737,0.0001031564,0.00007058397,0.00007130219,0.0000194004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002992224,"about_ca_system_score_gemma":0.000004681859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002128154,"about_ca_topic_score_gemma":0.00001490673,"domain_scores_codex":[0.9993877,0.00003201688,0.0002415965,0.00004408032,0.0001737087,0.0001208949],"domain_scores_gemma":[0.9996116,0.00004000436,0.0002199392,0.00007795043,0.00001857629,0.00003195393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009024589,0.00009618911,0.9941812,0.000009682705,0.00001812734,0.000003671104,0.000533976,0.0002699801,0.00118495,0.00009496555,0.0008034596,0.002713561],"study_design_scores_gemma":[0.0001829999,0.0001296883,0.9916719,0.00002014599,0.0000169064,0.00001128691,0.0001237512,0.00002787115,0.002521542,0.001816534,0.003436686,0.00004064093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943209,0.00007749848,0.00001816074,0.0002275396,0.0001083201,0.00003702648,0.000007965386,0.00000197594,0.00520058],"genre_scores_gemma":[0.9994154,0.0003364428,0.0001710183,0.000007449647,0.00002570424,4.83545e-8,2.764439e-7,0.000001975048,0.00004169646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005158883,"threshold_uncertainty_score":0.1361119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003674024079245,"score_gpt":0.230224031151049,"score_spread":0.2101872909102565,"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."}}