{"id":"W4284895885","doi":"10.1016/j.ijpvp.2022.104742","title":"A new method for assessment of burst pressure capacity of corroded X80 steel pipelines containing a dent","year":2022,"lang":"en","type":"article","venue":"International Journal of Pressure Vessels and Piping","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Corrosion; Pipeline transport; Materials science; Parametric statistics; Stress (linguistics); Finite element method; Pipeline (software); Metallurgy; Structural engineering; Stress concentration; Geotechnical engineering; Engineering; Mechanical engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005577235,0.0006971628,0.0004875544,0.002805653,0.0004419951,0.0005344501,0.0008198618,0.0008102992,0.002108953],"category_scores_gemma":[0.0009087853,0.0003811395,0.0002867775,0.001262374,0.000522185,0.0009898739,0.0006149688,0.0004764984,0.0005986317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003963815,"about_ca_system_score_gemma":0.0004817838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156671,"about_ca_topic_score_gemma":0.002666336,"domain_scores_codex":[0.9990928,0.00006556185,0.00004105072,0.0001681653,0.0005888848,0.00004355772],"domain_scores_gemma":[0.9986003,0.00031589,0.0001821996,0.0001234617,0.0007130231,0.00006500246],"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":[0.0004624315,0.0001087046,0.01701134,0.0004207965,0.00005614892,0.0002368051,0.000432507,0.002398334,0.8434806,0.0005717165,0.0007862995,0.1340343],"study_design_scores_gemma":[0.0000690864,0.001956447,0.07978607,0.0000862454,0.0001834992,0.002308581,0.0008917789,0.1154819,0.7872155,0.0007984255,0.01094116,0.0002812816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4392352,0.002942888,0.5436966,0.0001385798,0.000278362,0.0003585708,0.001278843,0.00303388,0.009037113],"genre_scores_gemma":[0.8872293,0.0007688421,0.1050695,0.00006407778,0.00004534052,0.0002424663,0.0004178169,0.0000905365,0.006072056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002805653,"threshold_uncertainty_score":0.007055163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937445815582513,"score_gpt":0.3220680566829026,"score_spread":0.2926935985270774,"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."}}