{"id":"W2320976223","doi":"10.2514/6.2007-1373","title":"Icing Simulation of Wind Turbine Blades","year":2007,"lang":"en","type":"article","venue":"45th AIAA Aerospace Sciences Meeting and Exhibit","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université du Québec à Rimouski","keywords":"Icing; Turbine blade; Turbine; Marine engineering; Computer science; Wind power; Aerospace engineering; Environmental science; Meteorology; Engineering; Electrical engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000182392,0.0006370418,0.0005842449,0.0004490314,0.0007491295,0.000920907,0.0008486046,0.001387344,0.004266537],"category_scores_gemma":[0.0008608223,0.0003407318,0.0007123574,0.0003658147,0.000480599,0.000259225,0.0004585784,0.0006459791,0.0004191741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087088,"about_ca_system_score_gemma":0.001110925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09291903,"about_ca_topic_score_gemma":0.0424748,"domain_scores_codex":[0.9998686,0.00002028858,0.000007415366,0.0000209869,0.00003459397,0.00004814949],"domain_scores_gemma":[0.9995714,0.0001492702,0.00004621289,0.0000264198,0.0001366282,0.00006996229],"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":[0.00003656985,0.00003289104,0.001670723,0.00003200838,0.00001346532,0.0002093039,0.00003446551,0.9939258,0.00204612,0.0003479552,0.0003698186,0.001280946],"study_design_scores_gemma":[0.000009508039,0.00001601359,0.0009336229,0.000003846005,0.000002860003,0.00001610814,0.00002099089,0.9984017,0.0002449589,0.00007228952,0.0002740248,0.000004183244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435636,0.0003652903,0.02187402,0.0002825473,0.0001471426,0.0001473146,0.001504075,0.0003948195,0.03172123],"genre_scores_gemma":[0.9919143,0.00008191134,0.003074372,0.0000480311,0.00001133927,0.0000469275,0.000558987,0.00004504653,0.004219073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09291903,"threshold_uncertainty_score":0.1847563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476713138898029,"score_gpt":0.2531925642297952,"score_spread":0.2384254328408149,"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."}}