{"id":"W2990638361","doi":"10.1115/pvp2019-93062","title":"A Novel Methodology to Optimize the Tightening Sequence in Bolted Flange Joints","year":2019,"lang":"en","type":"article","venue":"","topic":"Engineering Structural Analysis Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Flange; Bolted joint; Structural engineering; Piping; Engineering; Finite element method; Tension (geology); Welding; Joint (building); Mechanical engineering; Compression (physics); Materials science; Composite material","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":[0.0004374011,0.0008681216,0.000578396,0.0007278534,0.0003242914,0.0005574174,0.0008782436,0.000422087,0.001741838],"category_scores_gemma":[0.0006639371,0.0005391738,0.0004338835,0.0004735418,0.0003788684,0.0005063277,0.0005500506,0.0004472918,0.0003259609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004567604,"about_ca_system_score_gemma":0.000885221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247063,"about_ca_topic_score_gemma":0.001758722,"domain_scores_codex":[0.9996827,0.00004260279,0.0000204921,0.00008150429,0.0001350158,0.00003778255],"domain_scores_gemma":[0.9997022,0.00006962345,0.00009478465,0.00003788323,0.00008160497,0.00001397101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007737605,0.0001981355,0.001036645,0.0002722056,0.00006296163,0.0001158163,0.0001778318,0.5352818,0.2187849,0.008695486,0.0006245348,0.2346723],"study_design_scores_gemma":[0.00002693215,0.000366589,0.0006085538,0.00001832554,0.00003705471,0.0001097419,0.00003812384,0.9527123,0.04047061,0.002062599,0.003526111,0.00002312586],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02361394,0.00009769937,0.9742863,0.00001971699,0.00001101058,0.0000686038,0.00001527995,0.0002776017,0.001609759],"genre_scores_gemma":[0.3521389,0.0001406295,0.6456568,0.00002326544,0.0000133514,0.000174239,0.00005187541,0.0001210496,0.001679982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001741838,"threshold_uncertainty_score":0.00582701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07705292025728376,"score_gpt":0.3102191129914034,"score_spread":0.2331661927341196,"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."}}