{"id":"W4412699911","doi":"10.11159/ffhmt25.218","title":"Numerical Investigation of Passive Flow Control Using Grooves and Dimples for LPT Blades","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dimple; Flow control (data); Flow (mathematics); Computer science; Geology; Mechanics; Materials science; Physics; Composite material; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003469431,0.0004596677,0.0005131889,0.0003872494,0.0005717651,0.001049511,0.0007440991,0.001119911,0.0023033],"category_scores_gemma":[0.001163431,0.0002837979,0.00039944,0.0002269062,0.001014776,0.0004534052,0.000547461,0.0005211257,0.0002368395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006578919,"about_ca_system_score_gemma":0.000570735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005921757,"about_ca_topic_score_gemma":0.003131028,"domain_scores_codex":[0.9998376,0.00002468318,0.000006590267,0.00002992578,0.00006432433,0.00003678053],"domain_scores_gemma":[0.9995091,0.0002467503,0.00008818279,0.00002904994,0.00008315891,0.00004371547],"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":[0.0001704032,0.0001602987,0.00243469,0.0001360545,0.00001567942,0.0002772178,0.00009934497,0.9670056,0.01694649,0.003852357,0.000570444,0.008331443],"study_design_scores_gemma":[0.00001096174,0.00005628866,0.0001947748,0.000003647187,0.000002635524,0.00001230829,0.00001665366,0.9984901,0.0007686054,0.0001572482,0.0002826055,0.000004202516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7688702,0.001705527,0.1939867,0.0006902476,0.0002986269,0.0002527657,0.0003243664,0.0006706546,0.03320114],"genre_scores_gemma":[0.9854951,0.0001476118,0.0122975,0.00003232181,0.00001115734,0.00004546028,0.00004103643,0.00002122856,0.001908615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005921757,"threshold_uncertainty_score":0.01177454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528107831804578,"score_gpt":0.224950293406488,"score_spread":0.2096692150884422,"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."}}