{"id":"W1985467395","doi":"10.1115/gt2010-23399","title":"On the Use of Blades Stagger and Stacking in Turbine Stage Optimization","year":2010,"lang":"en","type":"article","venue":"","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Stator; Rotor (electric); Bézier curve; Computer science; Turbine; Mathematical optimization; Control theory (sociology); Genetic algorithm; Mathematics; Engineering; Mechanical engineering; Geometry; Artificial intelligence","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":[0.00006481273,0.00006125628,0.00005908431,0.00006775761,0.00001772004,0.00002706738,0.00003404282,0.00003661222,0.0002201526],"category_scores_gemma":[0.00002780339,0.00004012018,0.000008003255,0.0001060048,0.00001710589,0.0002320706,0.000009625194,0.0001226953,0.000001108589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005338329,"about_ca_system_score_gemma":0.000002951111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002023394,"about_ca_topic_score_gemma":0.00008196398,"domain_scores_codex":[0.9996973,0.000006195728,0.0001085234,0.000055138,0.00005888257,0.0000740087],"domain_scores_gemma":[0.9997873,0.00006572414,0.00001583332,0.0001041887,0.00001393194,0.00001306132],"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":[0.000004847543,0.000006734969,0.003340342,0.0000116073,0.000002877132,2.319597e-7,0.0001230578,0.9927252,0.001772094,0.001425414,0.00009057634,0.0004970458],"study_design_scores_gemma":[0.0001238578,0.00001070211,0.004853104,0.000009679389,0.000001603325,2.802288e-7,0.00001797143,0.991365,0.003278677,0.0000114896,0.0002742434,0.00005344588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849812,0.000008997003,0.0140212,0.00004978274,0.00006909822,0.00008741606,0.000004147497,0.00004589119,0.0007322891],"genre_scores_gemma":[0.9933515,0.00006568505,0.00631626,0.00005305333,0.00001193128,0.000003214328,0.000007204502,0.00001126957,0.0001799479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008370254,"threshold_uncertainty_score":0.2410517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668793563038574,"score_gpt":0.2016599691420833,"score_spread":0.1849720335116976,"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."}}