{"id":"W4224286856","doi":"10.1002/prs.12364","title":"Probabilistic failure assessment of oil pipelines due to internal corrosion","year":2022,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Memorial University of Newfoundland","funders":"","keywords":"Corrosion; Pipeline transport; Petroleum engineering; Probabilistic logic; Environmental science; Bayesian network; Fossil fuel; Volumetric flow rate; Materials science; Engineering; Metallurgy; Environmental engineering; Waste management; Mechanics; Statistics; Mathematics","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":[0.001440077,0.0005683031,0.0003430056,0.00114332,0.000183285,0.0003887211,0.0004748731,0.000609467,0.0008452635],"category_scores_gemma":[0.003675323,0.0004019992,0.0005718948,0.0003860722,0.0005373693,0.0004145612,0.0005058282,0.0003151084,0.0001187894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007927181,"about_ca_system_score_gemma":0.0003365446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005937818,"about_ca_topic_score_gemma":0.003043645,"domain_scores_codex":[0.9995765,0.0001366672,0.00001939832,0.00008069626,0.0001444614,0.00004230128],"domain_scores_gemma":[0.9983227,0.0009409437,0.0003619467,0.00007101284,0.0002426867,0.00006074056],"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":[0.00004366913,0.000009089983,0.005683966,0.00001127719,0.00001556434,0.00005072795,0.00001857241,0.9888719,0.001517428,0.000747369,0.00004278351,0.002987799],"study_design_scores_gemma":[9.56986e-7,0.0000151449,0.001334819,0.000001432432,0.000003797162,0.00001436312,0.000003141025,0.9979975,0.0003532174,0.0002506019,0.00002126261,0.000003852687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7341673,0.0001528329,0.2633916,0.00007020574,0.00000921302,0.00004200027,0.0001809714,0.0002605121,0.001725327],"genre_scores_gemma":[0.9975408,0.00002589019,0.00212541,0.000001958508,0.000001484045,0.000007718787,0.0000473588,0.000003631373,0.0002458024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005937818,"threshold_uncertainty_score":0.01180649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008259602483050663,"score_gpt":0.268158578808549,"score_spread":0.2598989763254983,"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."}}