{"id":"W2522371150","doi":"10.1115/gt2016-56120","title":"Material Selection Issues for a Nozzle Guide Vane Against Service Induced Failure","year":2016,"lang":"en","type":"article","venue":"Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Nozzle; Materials science; Climb; Mechanism (biology); Failure mechanism; Creep; Structural engineering; Mechanical engineering; Material selection; Component (thermodynamics); Deformation (meteorology); Selection (genetic algorithm); Deformation mechanism; Combustion; Dislocation; Computer science; Forensic engineering; Engineering; Aerospace engineering; Composite material; Physics; Thermodynamics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002060732,0.0003756786,0.0004311039,0.0001539954,0.0003027895,0.0006130373,0.0001293458,0.0001730617,0.0002607131],"category_scores_gemma":[0.00006706303,0.0003140981,0.00004830063,0.00006066024,0.00004618967,0.0005612554,0.00003427715,0.00006985952,0.00001696314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009669759,"about_ca_system_score_gemma":0.00009136984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004308567,"about_ca_topic_score_gemma":0.0003316326,"domain_scores_codex":[0.9984286,0.00005132076,0.0005719651,0.0004042005,0.0001542056,0.0003897071],"domain_scores_gemma":[0.9991898,0.000125408,0.000146957,0.0001927947,0.000175845,0.0001692092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001285332,0.0001751542,0.0002599792,0.0006072671,0.0004554878,0.000001708173,0.001008562,0.0001804516,0.924372,0.009461747,0.006167686,0.05718148],"study_design_scores_gemma":[0.003493564,0.0002942817,0.006828105,0.0002843069,0.0003170208,0.00003212102,0.0006693255,0.0009829154,0.5457597,0.001605069,0.4385585,0.001175145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924767,0.0002208596,0.000837861,0.002494043,0.002482473,0.000833649,0.000311261,0.0001761981,0.0001669246],"genre_scores_gemma":[0.9919242,0.002457593,0.002462069,0.0006096023,0.001088836,0.0003668767,0.0003488046,0.00008128014,0.0006607644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4323908,"threshold_uncertainty_score":0.9999311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005256534894277537,"score_gpt":0.2171460511186256,"score_spread":0.211889516224348,"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."}}