{"id":"W4382762914","doi":"","title":"Assessment of RANS turbulence models on simplified geometries representative of turbine blade tip shroud flow","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Shroud; Reynolds-averaged Navier–Stokes equations; Blade (archaeology); Turbulence; Turbine blade; Mechanics; Flow (mathematics); Turbine; Marine engineering; Mechanical engineering; Geology; Aerospace engineering; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000993334,0.001065487,0.0009079571,0.0007001151,0.0006280246,0.0008913547,0.001037313,0.001309437,0.001788374],"category_scores_gemma":[0.004207793,0.0004965353,0.0008178817,0.0005754344,0.0004799819,0.000970471,0.0005929348,0.0006686395,0.0004633805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006248332,"about_ca_system_score_gemma":0.0008166505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01151487,"about_ca_topic_score_gemma":0.008426772,"domain_scores_codex":[0.9994938,0.0001846846,0.000042596,0.00006756183,0.0001512876,0.00005987227],"domain_scores_gemma":[0.9967684,0.001675284,0.0002964934,0.000464092,0.0006833543,0.0001124426],"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":[0.0001378318,0.000115919,0.002513054,0.0000628372,0.00002025729,0.0000842035,0.0000422377,0.9885228,0.002793775,0.0005868659,0.0003629838,0.004757332],"study_design_scores_gemma":[0.0000149392,0.00005710587,0.001183097,0.000005595492,0.000004986207,0.0000151513,0.0000155334,0.9976859,0.0008107938,0.00008790148,0.0001118844,0.000007045594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9279614,0.0003929694,0.0577273,0.000255536,0.00008310071,0.0002096596,0.001963763,0.001791841,0.009614292],"genre_scores_gemma":[0.9889545,0.0001302813,0.00923864,0.0000307151,0.00001465909,0.00005729024,0.0007448567,0.000142897,0.0006861484],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01151487,"threshold_uncertainty_score":0.02289569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115927426970526,"score_gpt":0.2270699949548915,"score_spread":0.2154772522578389,"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."}}