{"id":"W4410457078","doi":"10.1016/j.ijpvp.2025.105558","title":"Strain-based modeling of burst pressure in pipelines with selective seam weld corrosion","year":2025,"lang":"en","type":"article","venue":"International Journal of Pressure Vessels and Piping","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Enbridge","keywords":"Corrosion; Pipeline transport; Welding; Pressure vessel; Materials science; Structural engineering; Strain (injury); Engineering; Forensic engineering; Composite material; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002391473,0.0001176535,0.0002709467,0.000313053,0.00002713936,0.00004340409,0.0002070631,0.000092725,0.00001609986],"category_scores_gemma":[0.0001009952,0.00008838458,0.00007455065,0.0001906774,0.0000420321,0.0001857086,0.00001980549,0.0003476333,7.742502e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002490104,"about_ca_system_score_gemma":0.0000559783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008110435,"about_ca_topic_score_gemma":0.00006090647,"domain_scores_codex":[0.999069,0.00003663577,0.0004232523,0.0001065715,0.00026243,0.0001020963],"domain_scores_gemma":[0.9990707,0.0001680421,0.0001167292,0.00006542654,0.0005462259,0.00003285627],"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":[0.0001623742,0.00002493333,0.003618943,0.0001915902,0.0003311335,0.000007272541,0.0003526217,0.9869713,0.00667346,0.0002292701,0.00003782921,0.001399277],"study_design_scores_gemma":[0.0007448604,0.00005323331,0.001934773,0.001330921,0.000202149,0.00001554565,0.0003082972,0.9842641,0.009449371,0.0009995159,0.0005821137,0.0001150978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8205617,0.007471391,0.1681816,0.00140874,0.001024353,0.0001882776,0.00008740266,0.00003718346,0.001039325],"genre_scores_gemma":[0.9987663,0.0001948201,0.0008614269,0.00004170947,0.00008700122,0.000001399938,0.000003123711,0.000007239386,0.00003695113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1782046,"threshold_uncertainty_score":0.3604219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008050748980553732,"score_gpt":0.2448488341910068,"score_spread":0.236798085210453,"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."}}