{"id":"W2029024930","doi":"10.2514/6.2010-1421","title":"An Adjoint-Based Shape Optimization of Gas Turbine Blades","year":2010,"lang":"en","type":"article","venue":"48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gas turbines; Shape optimization; Turbine blade; Computer science; Mechanical engineering; Aerospace engineering; Turbine; Engineering; Finite element method; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005764889,0.0003557302,0.000458951,0.000273581,0.0002204085,0.0005706341,0.0004175921,0.0008347442,0.0009343534],"category_scores_gemma":[0.0007759058,0.0003555212,0.0003922027,0.0001531832,0.0006436454,0.000396834,0.0005330766,0.0005068632,0.0001761091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003660779,"about_ca_system_score_gemma":0.0006776959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008352001,"about_ca_topic_score_gemma":0.0007833358,"domain_scores_codex":[0.9998553,0.00004973271,0.000003988157,0.00002010043,0.00005469508,0.00001617454],"domain_scores_gemma":[0.9998212,0.00006668614,0.00001883459,0.00001836046,0.00005818549,0.00001672788],"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":[0.00003495864,0.0000275386,0.0002378448,0.00002629878,0.000006112366,0.00003703979,0.00002459366,0.9700749,0.0122292,0.006386294,0.0002324451,0.01068285],"study_design_scores_gemma":[0.000005316472,0.0000166617,0.00003606334,0.000001561842,9.261791e-7,0.000006755331,0.000002555115,0.9980026,0.0009004939,0.0008352901,0.0001900213,0.000001816445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06577275,0.0001183177,0.9297444,0.0001394856,0.0000466662,0.00003497871,0.00002778798,0.000193702,0.003921849],"genre_scores_gemma":[0.813454,0.00008761811,0.1827829,0.00009181712,0.00002761734,0.00008682589,0.00006044765,0.0001063067,0.003302401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009343534,"threshold_uncertainty_score":0.003125727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009923530801695609,"score_gpt":0.2396476881948707,"score_spread":0.2297241573931751,"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."}}