{"id":"W4319864148","doi":"10.1016/j.ijpvp.2023.104906","title":"Numerical sensitivity analysis of corroded pipes and burst pressure prediction using finite element modeling","year":2023,"lang":"en","type":"article","venue":"International Journal of Pressure Vessels and Piping","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"German University in Cairo","keywords":"Corrosion; Sensitivity (control systems); Finite element method; Materials science; Hardening (computing); Structural engineering; Strain hardening exponent; Mechanics; Engineering; Composite material; 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":[],"consensus_categories":[],"category_scores_codex":[0.000517148,0.0001192793,0.0003643711,0.000501257,0.00005665931,0.00006538845,0.00009820498,0.00008589833,0.0000209327],"category_scores_gemma":[0.0001665641,0.0001018818,0.0001534442,0.0003945212,0.00004155545,0.0002717423,0.00004437373,0.0002309655,1.64253e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001740612,"about_ca_system_score_gemma":0.00001353134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001148091,"about_ca_topic_score_gemma":0.00001004234,"domain_scores_codex":[0.9988111,0.00006825515,0.0004930784,0.0001320693,0.0003745044,0.0001210302],"domain_scores_gemma":[0.9991092,0.0002198795,0.0001643231,0.0000757038,0.000366422,0.00006447965],"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":[0.00002832707,0.000009479651,0.004319826,0.00008239914,0.00388579,0.00001059333,0.0006771885,0.9811682,0.008678205,0.00004259037,0.0000173669,0.001080057],"study_design_scores_gemma":[0.0001856561,0.0000190827,0.005889262,0.0001338465,0.001787265,0.000025029,0.0002109024,0.9901386,0.001133575,0.0001778181,0.0002104904,0.00008843763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8777766,0.001360145,0.1199939,0.0001725301,0.0004812636,0.00004721396,0.000110381,0.00003317048,0.00002484788],"genre_scores_gemma":[0.9984314,0.0008195729,0.0005353349,0.00001348757,0.0001666559,6.009498e-7,0.00001289184,0.000008643123,0.00001143047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1206548,"threshold_uncertainty_score":0.4154618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092296404266113,"score_gpt":0.2654801464635519,"score_spread":0.2445571824208908,"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."}}