{"id":"W4415896018","doi":"10.1016/j.ress.2025.111899","title":"Time-variant reliability analysis of corroded gas pipelines considering dynamic defect evolution and interaction","year":2025,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Hong Kong Polytechnic University; McGill University","keywords":"Robustness (evolution); Corrosion; Reliability (semiconductor); Pipeline transport; Failure assessment; Integrity management; Pipeline (software); Ranging; Gamma process","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":[0.0004002496,0.0005354464,0.0004106856,0.0004436175,0.0001905997,0.0004657466,0.0006483183,0.0005359782,0.0005560279],"category_scores_gemma":[0.001282328,0.0002707756,0.0004067051,0.0003018049,0.0006170498,0.0004767406,0.0002398183,0.0003556871,0.0000641714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005549124,"about_ca_system_score_gemma":0.0003662708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007906932,"about_ca_topic_score_gemma":0.004200983,"domain_scores_codex":[0.9998486,0.0000396179,0.000004495151,0.00003414639,0.0000443042,0.00002875579],"domain_scores_gemma":[0.9995238,0.0002228989,0.0001021857,0.00003009265,0.0001009789,0.00002013711],"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":[0.00007293157,0.00001360682,0.001157279,0.00002541088,0.00003205543,0.000335659,0.00003343062,0.9857588,0.006778742,0.002996886,0.00009613232,0.002699095],"study_design_scores_gemma":[5.737223e-7,0.000007851692,0.0003147245,5.993106e-7,0.000003778311,0.00001192586,0.000005183108,0.9992796,0.0001984825,0.0001600137,0.0000156694,0.00000165124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7443527,0.0004627873,0.252134,0.0001415176,0.00004047391,0.00001642443,0.00006758528,0.0001693753,0.00261517],"genre_scores_gemma":[0.9974629,0.00005917006,0.001704147,0.000005136023,0.000004891499,0.000002584402,0.00001707245,0.00001011788,0.0007339887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007906932,"threshold_uncertainty_score":0.01572186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003407345367414496,"score_gpt":0.2075782568397505,"score_spread":0.204170911472336,"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."}}