{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001367367,0.000453219,0.001277358,0.000818097,0.0001261643,0.000047448,0.0002287381,0.0003609594,0.00004058093],"category_scores_gemma":[0.0009600826,0.0004298973,0.0006911894,0.00221871,0.0001641836,0.0002587717,0.00008286284,0.0005180928,0.0000083411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336506,"about_ca_system_score_gemma":0.00005506917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005366739,"about_ca_topic_score_gemma":0.00009414204,"domain_scores_codex":[0.9970292,0.0001746105,0.001420267,0.0006767511,0.0002949523,0.0004042253],"domain_scores_gemma":[0.997617,0.0007890935,0.0001510873,0.0009805674,0.0003361156,0.0001261031],"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":[0.00005463402,0.0000290254,0.002104039,0.002269533,0.001212088,0.000002447562,0.0001514055,0.9861635,0.006845042,0.0006209622,0.00002118727,0.0005261682],"study_design_scores_gemma":[0.0002714736,0.0000238728,0.02936231,0.0004448633,0.002032102,0.0000143155,0.0002880401,0.9660811,0.0008741778,0.00009619979,0.0001743591,0.0003371594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8481202,0.0008029715,0.1481383,0.0001153425,0.0009231726,0.000505921,0.00009948784,0.0008413875,0.000453227],"genre_scores_gemma":[0.9977263,0.0001067913,0.001962907,0.000004798094,0.00002788335,0.00002935475,0.00005878735,0.00002995258,0.00005319577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1496061,"threshold_uncertainty_score":0.9998153,"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."}}