{"id":"W2581969751","doi":"10.1016/j.engfailanal.2017.01.018","title":"Revised burst model for pipeline integrity assessment","year":2017,"lang":"en","type":"article","venue":"Engineering Failure Analysis","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Pipeline (software); Pipeline transport; Finite element method; Structural engineering; Engineering; Corrosion; Reliability engineering; Forensic engineering; Mechanical engineering; Materials science; Metallurgy","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":[0.0012427,0.001148486,0.001304024,0.001316233,0.0005518306,0.00154666,0.004173448,0.002583403,0.007613187],"category_scores_gemma":[0.004132084,0.0007186024,0.001040703,0.001103256,0.0009993755,0.003685023,0.001497302,0.00217298,0.002150243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356831,"about_ca_system_score_gemma":0.001490304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008295937,"about_ca_topic_score_gemma":0.005585344,"domain_scores_codex":[0.9992707,0.0001665493,0.00004311882,0.0001397606,0.0002795132,0.0001003776],"domain_scores_gemma":[0.9984676,0.0004649533,0.000153735,0.0002703612,0.0005608514,0.0000824191],"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":[0.00008972018,0.00004337,0.0006353816,0.00008453797,0.00004207274,0.0001966902,0.000105216,0.9137956,0.003403143,0.06075998,0.002932432,0.01791179],"study_design_scores_gemma":[0.000005871219,0.00001242053,0.00008418322,0.000005401625,0.00001059152,0.00002322148,0.000008499675,0.9859408,0.0002474965,0.01290615,0.0007496986,0.000005615767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01296661,0.0002774095,0.9794003,0.0003974721,0.0001117226,0.00006535066,0.000471448,0.0004327704,0.005876894],"genre_scores_gemma":[0.7630242,0.00114296,0.1758649,0.0004384564,0.0002455948,0.000555228,0.001889949,0.0009586885,0.05588013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008295937,"threshold_uncertainty_score":0.02546865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849855030262768,"score_gpt":0.2767408277848269,"score_spread":0.2582422774821993,"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."}}