{"id":"W2573785291","doi":"10.1175/jas-d-16-0228.1","title":"Scaling Laws for the Longitudinal Structure Function in the Atmospheric Surface Layer","year":2017,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Turbulence; Scaling; Dissipation; Physics; Atmospheric instability; Advection; Mechanics; Buoyancy; Turbulence kinetic energy; Power law; Classical mechanics; Statistical physics; Meteorology; Thermodynamics; Geometry; Mathematics; Wind speed","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001580766,0.0001289842,0.0001605378,6.329794e-7,0.002601228,0.0003107108,0.002053263,0.00003561785,0.0001417264],"category_scores_gemma":[0.000281363,0.00004747913,0.0001587767,0.0003013551,0.0009309863,0.0004905934,0.0002560428,0.0002146087,0.000006157297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005776818,"about_ca_system_score_gemma":0.00003072272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002586468,"about_ca_topic_score_gemma":0.0003010077,"domain_scores_codex":[0.9985538,0.00008116484,0.0002624759,0.000173644,0.0006488691,0.0002800655],"domain_scores_gemma":[0.9987471,0.000339899,0.0005119702,0.0003477631,0.00002290879,0.00003032063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005512118,0.00004695631,0.745991,0.00000544257,0.00003575348,0.000003625336,0.001129505,0.2329733,0.002015462,0.0001107339,0.008061409,0.009571741],"study_design_scores_gemma":[0.0002895113,0.0001367005,0.9557977,0.00003438797,0.00005156056,0.00004107795,0.001951274,0.02800222,0.0001200417,0.00230303,0.01116616,0.0001063132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875297,0.0005218879,0.0002792015,0.00951893,0.001319177,0.0001857073,0.000001163994,0.000003226842,0.0006410268],"genre_scores_gemma":[0.9964121,0.00005636888,0.002521594,0.0004386561,0.0002656289,0.000002403929,2.422457e-8,0.000005118592,0.0002981076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2098067,"threshold_uncertainty_score":0.9986972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955786322179657,"score_gpt":0.2714696805839238,"score_spread":0.2419118173621272,"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."}}