{"id":"W4405361298","doi":"10.1115/ipc2024-132418","title":"Finite Element Analyses of Burst Capacities of Pipelines Containing Pinhole-in-Corrosion Defects","year":2024,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Pipeline transport; Corrosion; Finite element method; Pinhole (optics); Materials science; Forensic engineering; Engineering; Structural engineering; Metallurgy; Mechanical engineering; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000416854,0.0004705529,0.0003258814,0.0009205398,0.0002022366,0.0004882851,0.0005424887,0.0006618873,0.0009971415],"category_scores_gemma":[0.001566445,0.0003412277,0.0003736729,0.0003158669,0.0007247239,0.000558559,0.0003508774,0.0002848054,0.00014912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004633982,"about_ca_system_score_gemma":0.00044426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003619016,"about_ca_topic_score_gemma":0.002953705,"domain_scores_codex":[0.9998136,0.00003698425,0.00001342725,0.00003032213,0.00007450403,0.00003115039],"domain_scores_gemma":[0.9991424,0.0004206233,0.0001492984,0.00009387595,0.0001619564,0.00003182866],"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":[0.00006990952,0.00002954894,0.004160834,0.00005352879,0.00001573871,0.000153557,0.0001197198,0.9567837,0.03169078,0.001027054,0.0001088199,0.005786753],"study_design_scores_gemma":[0.000002070087,0.00003530566,0.00143927,0.000005749733,0.000004495658,0.00002864407,0.00004466737,0.9929284,0.005154094,0.0001667288,0.0001843096,0.000006204606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9037839,0.0001442692,0.09271292,0.00006543646,0.00001201372,0.0000335942,0.0002067046,0.0002808795,0.002760141],"genre_scores_gemma":[0.996436,0.00003133476,0.003043794,0.000003319502,8.272757e-7,0.00001091947,0.00004898395,0.00001297496,0.0004118538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003619016,"threshold_uncertainty_score":0.00719589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170397125348441,"score_gpt":0.2899277843044093,"score_spread":0.2582238130509249,"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."}}