{"id":"W4368249750","doi":"10.1007/978-3-030-64725-4_29-1","title":"Numerical Simulation of In-Flight Iced Surface Roughness","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Reynolds-averaged Navier–Stokes equations; Airfoil; Mechanics; Turbulence; Icing; Surface roughness; Computational fluid dynamics; Surface finish; NACA airfoil; Heat transfer; Meteorology; Reynolds number; Engineering; Mechanical engineering; Physics; Thermodynamics","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":[0.00007070525,0.0001941387,0.000358328,0.0001731184,0.00001111662,0.000007300151,0.0001336205,0.0003998306,0.00003361205],"category_scores_gemma":[0.00003055644,0.0001846294,0.00006227098,0.00008355817,0.00002467582,0.00003289981,0.00003738028,0.0002752678,0.0001483393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005172028,"about_ca_system_score_gemma":0.000008668141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004680493,"about_ca_topic_score_gemma":0.00001408304,"domain_scores_codex":[0.9992516,0.000002940518,0.0002928052,0.0001554006,0.0001481569,0.0001490686],"domain_scores_gemma":[0.9994633,0.0001726834,0.00004308581,0.0002756734,0.00003030998,0.00001494437],"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":[0.000003706234,0.000002440931,0.00003713176,0.0001185979,0.00002389154,0.000008756871,0.00004741304,0.9829405,0.00003504844,0.01286155,0.0005970088,0.003323937],"study_design_scores_gemma":[0.0004559931,0.00007288511,0.0005110563,0.0008740416,0.00004744576,0.00000198874,0.00003652796,0.9496682,0.01361692,0.01978274,0.01396267,0.0009694964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002739296,0.0001018889,0.04242686,0.0000816463,0.0007536161,0.0002572065,0.00001197881,0.004783051,0.9488444],"genre_scores_gemma":[0.8665032,0.0000628369,0.0004896086,0.000006467668,0.0000259986,0.000001360929,0.00001363659,0.00008273376,0.1328141],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8637639,"threshold_uncertainty_score":0.7528968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377023324396355,"score_gpt":0.2398097139318366,"score_spread":0.216039480687873,"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."}}