{"id":"W4399489807","doi":"10.1088/1742-6596/2767/9/092079","title":"Comparing methods for coupling wake models to an atmospheric perturbation model in WAYVE","year":2024,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"HORIZON EUROPE Framework Programme; Fonds Wetenschappelijk Onderzoek; European Commission; Vlaamse regering; Vlaams Supercomputer Centrum","keywords":"Wake; Mesoscale meteorology; Turbine; Perturbation (astronomy); Planetary boundary layer; Coupling (piping); Mechanics; Meteorology; Environmental science; Computer science; Boundary layer; Physics; Aerospace engineering; Engineering; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0003389823,0.0001142637,0.0002272718,0.00003672304,0.00003353752,0.0001566184,0.0001391486,0.00003587233,0.000003588165],"category_scores_gemma":[0.00001453366,0.0001015633,0.00005166499,0.0001845439,0.00001302622,0.0009644128,0.00002243644,0.0001832397,0.000001036436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115014,"about_ca_system_score_gemma":0.000175227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005169523,"about_ca_topic_score_gemma":0.0000146127,"domain_scores_codex":[0.9992561,0.00001219202,0.0002759564,0.00009772251,0.0001469763,0.0002110198],"domain_scores_gemma":[0.9995592,0.00005433482,0.00002495778,0.00007546824,0.0001730127,0.0001130751],"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":[0.00003120047,0.00001096195,0.000009693432,0.00007695562,0.00002893584,0.000002194302,0.00238952,0.8988981,0.007741438,0.0273278,0.00004772697,0.06343548],"study_design_scores_gemma":[0.0001057263,0.0000741747,0.00002851635,0.0001380169,0.000005998124,0.000003355639,0.0003508121,0.909929,0.01864624,0.07040707,0.0001987742,0.0001122802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1061818,0.0002179769,0.892747,0.00007963037,0.0001874936,0.00007088482,0.000001679155,0.00003665259,0.0004769261],"genre_scores_gemma":[0.7701567,0.00008109528,0.2295141,0.000009234442,0.0001043635,0.0000136436,0.000002850967,0.00001885308,0.0000991713],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6639749,"threshold_uncertainty_score":0.4141632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09976719804007421,"score_gpt":0.3380771953340324,"score_spread":0.2383099972939582,"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."}}