{"id":"W4415508007","doi":"10.1115/1.4070225","title":"Direct Numerical Simulations and Boundary Layer Analysis in Compressor Blade Channel at Various Reynolds Numbers","year":2025,"lang":"en","type":"article","venue":"Journal of Turbomachinery","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"E-Institutes of Shanghai Municipal Education Commission; Natural Science Foundation of Shanghai","keywords":"Boundary layer; Reynolds number; Laminar flow; Suction; Turbulence; Gas compressor; Flow separation; Blade (archaeology); Boundary layer suction","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":[0.0002402295,0.0003729268,0.0004242455,0.0004242031,0.0004265135,0.0004204143,0.0004528314,0.0005469353,0.000970964],"category_scores_gemma":[0.0007282326,0.0001704945,0.0003148675,0.0003244096,0.000501074,0.0003379738,0.0003474695,0.0003611728,0.00008419588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004918702,"about_ca_system_score_gemma":0.0006510981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01250847,"about_ca_topic_score_gemma":0.004729092,"domain_scores_codex":[0.9998816,0.00001743812,0.00000626546,0.00001914797,0.00003970769,0.0000357826],"domain_scores_gemma":[0.9996673,0.0001366432,0.00004964177,0.00002624328,0.00008990215,0.00003028628],"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":[0.0001560592,0.0001476078,0.01033284,0.0001189451,0.00001849681,0.0002122103,0.0001332318,0.9522765,0.02580172,0.002483475,0.0003936839,0.007925045],"study_design_scores_gemma":[0.00001024736,0.00002185454,0.0007236188,0.000002209081,0.000001842401,0.000006616076,0.00001701547,0.99713,0.001909062,0.00009046472,0.00008241456,0.000004699337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831641,0.0001402225,0.0133022,0.00008555769,0.00002669578,0.00003853189,0.0001724268,0.0002042593,0.002865945],"genre_scores_gemma":[0.9960983,0.00004915108,0.003360149,0.00001265875,0.000003374963,0.0000215106,0.0000700065,0.000009202053,0.0003756604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01250847,"threshold_uncertainty_score":0.02487135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005511646970148052,"score_gpt":0.235103547256992,"score_spread":0.2295919002868439,"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."}}