{"id":"W3200787236","doi":"10.1115/gt2021-58798","title":"Performance Evaluation of Leading Edge Tubercles Applied to the Blades in a 2-D Compressor Cascade","year":2021,"lang":"en","type":"article","venue":"","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Gas compressor; Mach number; Stall (fluid mechanics); Leading edge; Axial compressor; Cascade; Wind tunnel; Static pressure; Geometry; Mechanics; Aerospace engineering; Optics; Physics; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002586267,0.00006912455,0.0001021155,0.00006378216,0.0000289486,0.00001394959,0.00007602335,0.00003218693,0.00008795434],"category_scores_gemma":[0.00001268275,0.00005303492,0.00001569884,0.0002989887,0.000008195601,0.0001055888,0.00002145868,0.00007621406,0.00002844462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004112531,"about_ca_system_score_gemma":0.00002131045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007763025,"about_ca_topic_score_gemma":0.0001754449,"domain_scores_codex":[0.9994451,0.00001632026,0.0001612018,0.00008336378,0.00017997,0.0001140022],"domain_scores_gemma":[0.9997616,0.00002173088,0.00001221563,0.0001398138,0.00004727732,0.00001733182],"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":[0.00000371437,0.00000803825,0.00145912,0.00003421363,0.000006555238,1.307633e-7,0.0007825134,0.9701015,0.01039597,0.00006927179,0.0002521413,0.01688679],"study_design_scores_gemma":[0.0002192512,0.000005191454,0.0258248,0.00002685876,0.0000116005,0.000001743203,0.0001448928,0.8775514,0.09571078,0.000004777684,0.0004280228,0.00007064431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799174,0.0001877943,0.001021894,0.00007169253,0.0000876939,0.0001715698,0.000001381938,0.00004301513,0.01849753],"genre_scores_gemma":[0.999037,0.00006658614,0.0006796394,0.00005245296,0.00003948334,0.00003865048,0.000010826,0.0000105485,0.00006482577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09255011,"threshold_uncertainty_score":0.2162701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059640859446444,"score_gpt":0.2473463655777857,"score_spread":0.2267499569833212,"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."}}