{"id":"W4310081651","doi":"10.1007/978-3-031-18487-1_22","title":"Elastoplastic Thermo-mechanical Stressed State of Turbine Blades Locking Joints","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Material Properties and Failure Mechanisms","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Finite element method; Stress (linguistics); Materials science; Joint (building); Structural engineering; Stress–strain curve; Fracture (geology); Bilinear interpolation; Mechanics; Composite material; Engineering; Mathematics; Physics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005920788,0.0007557836,0.001203612,0.0002908311,0.00008632697,0.0000769046,0.0007345805,0.0004752425,0.008608888],"category_scores_gemma":[0.0004523653,0.0006725279,0.000251078,0.0001158428,0.00004816944,0.0001070208,0.0006793051,0.001163331,0.00005200994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002321112,"about_ca_system_score_gemma":0.00008010228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005362435,"about_ca_topic_score_gemma":0.00003984084,"domain_scores_codex":[0.9964836,0.00006490209,0.00109161,0.0008678422,0.0007840963,0.0007079066],"domain_scores_gemma":[0.9983283,0.000415821,0.0003670155,0.0006497643,0.00007486941,0.0001642667],"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":[0.0001663539,0.00003614423,8.654485e-8,0.0004025941,0.00003961596,0.00009473807,0.00007472553,0.07030019,0.9059694,0.0200065,0.000004384727,0.002905262],"study_design_scores_gemma":[0.0007841072,0.0006081669,0.000001261166,0.001049501,0.00009529966,0.0000470209,0.000003309082,0.03639432,0.9238014,0.03159992,0.004486461,0.001129298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06125958,0.002351777,0.9161038,0.0005311602,0.01127921,0.00281685,0.0009034146,0.001176238,0.003577983],"genre_scores_gemma":[0.9894238,0.0001157853,0.008816486,0.000109353,0.0003571973,0.00005610801,0.00005079785,0.0002910217,0.0007794122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9281642,"threshold_uncertainty_score":0.9995726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103139125745777,"score_gpt":0.1936012732763052,"score_spread":0.1832873607017275,"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."}}