{"id":"W2944838639","doi":"10.1088/1742-6596/1222/1/012005","title":"Enhanced modelling of the stratified atmospheric boundary layer over steep terrain for wind resource assessment","year":2019,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Terrain; Mesoscale meteorology; Meteorology; Orographic lift; Numerical weather prediction; Geology; Downscaling; Discretization; Environmental science; Wind speed; Wind profile power law; Climatology; Mathematics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001991611,0.0004783419,0.0003113268,0.0003203911,0.0003758327,0.0007177588,0.0006755415,0.0006464747,0.0009811125],"category_scores_gemma":[0.0006039597,0.0001559618,0.0002709959,0.0003016076,0.0002937941,0.0003183441,0.0004345955,0.0003788349,0.0001223264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006311478,"about_ca_system_score_gemma":0.0008986369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06561283,"about_ca_topic_score_gemma":0.03859765,"domain_scores_codex":[0.9999238,0.00002040123,0.000004044433,0.00001130946,0.00002477407,0.00001556734],"domain_scores_gemma":[0.9998585,0.00004589422,0.00001780947,0.00001506583,0.0000387657,0.00002399188],"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":[0.0000406915,0.00002967569,0.004209165,0.00001797331,0.00001255786,0.00008691282,0.00001905231,0.987304,0.003813988,0.000582945,0.0002189047,0.003664036],"study_design_scores_gemma":[0.00000677345,0.000007509203,0.0009237222,0.000001565641,0.000002037482,0.000003543847,0.000004456083,0.9986458,0.0002300156,0.00006874511,0.0001034423,0.000002390471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9280829,0.0003063694,0.06138741,0.000200963,0.00007801999,0.0001102773,0.0008270885,0.0006158705,0.00839118],"genre_scores_gemma":[0.9924073,0.00005327801,0.006786737,0.0000125105,0.00001248087,0.00002033784,0.0001533483,0.00002055338,0.0005335268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06561283,"threshold_uncertainty_score":0.1304618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04074181607041424,"score_gpt":0.2536874308581082,"score_spread":0.2129456147876939,"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."}}