{"id":"W2745524242","doi":"10.1115/gt2017-63698","title":"Rejuvenation Heat Treatment of Single Crystal Gas Turbine Blades","year":2017,"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":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Materials science; Recrystallization (geology); Shot peening; Turbine blade; Metallurgy; Peening; Superalloy; Residual stress; Dynamic recrystallization; Composite material; Turbine; Hot working; Alloy; Mechanical engineering; Geology","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":[0.0001451569,0.0002654663,0.0004283266,0.0002102228,0.0001632431,0.0001684694,0.0003306303,0.000235832,0.001326816],"category_scores_gemma":[0.0002377878,0.0002242119,0.0002929583,0.0001721402,0.0002000276,0.0001919621,0.0001930018,0.0002963329,0.0001867193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002176137,"about_ca_system_score_gemma":0.0002050704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560084,"about_ca_topic_score_gemma":0.004346187,"domain_scores_codex":[0.9998026,0.00001041405,0.00001057303,0.00003958187,0.00009486706,0.00004188073],"domain_scores_gemma":[0.9998282,0.00002449175,0.00004482044,0.00003129696,0.00005767712,0.00001350784],"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":[0.00005789694,0.000007535706,0.0002016914,0.00003966056,0.00000381356,0.00004186534,0.00002602849,0.0002533759,0.997779,0.000008732207,0.00001587004,0.001564499],"study_design_scores_gemma":[0.000006211621,0.0005663921,0.008446827,0.000004190106,0.00000605276,0.0001060308,0.00003681691,0.001087078,0.9891167,0.000008042377,0.0006102785,0.000005334873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983772,0.0003040532,0.0008725033,0.000007509854,0.000006274418,0.00001871053,0.00005789354,0.0000354441,0.0003203398],"genre_scores_gemma":[0.9966354,0.0001942221,0.001616211,0.000008680061,0.00000211713,0.00001395839,0.0001347798,0.00002286918,0.001371793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001560084,"threshold_uncertainty_score":0.004438698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008057809154223893,"score_gpt":0.2155882199809913,"score_spread":0.2075304108267675,"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."}}