{"id":"W4405360726","doi":"10.1115/ipc2024-133149","title":"Reliability-Based Evaluation of Corrosion Assessment Safety Factors for Pipelines Designed to Risk-Based Safety Class System","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":"University of Alberta","funders":"","keywords":"Pipeline transport; Reliability (semiconductor); Reliability engineering; Corrosion; Computer science; Class (philosophy); Risk assessment; Engineering; Risk analysis (engineering); Computer security; Materials science; Business; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002349424,0.0005842502,0.0003247153,0.001606552,0.0002121265,0.0005234341,0.0006309156,0.000452698,0.001365657],"category_scores_gemma":[0.006368433,0.0002111056,0.0005850471,0.0005467591,0.0003650918,0.0004433471,0.0003587595,0.0002983516,0.0002371532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540926,"about_ca_system_score_gemma":0.000702323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008369132,"about_ca_topic_score_gemma":0.008619935,"domain_scores_codex":[0.9983204,0.0004287799,0.00007885697,0.0001658961,0.0008884763,0.0001174708],"domain_scores_gemma":[0.9960719,0.001283258,0.000539291,0.0002395832,0.001807425,0.00005838663],"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":[0.000617323,0.0001601216,0.03542281,0.0001738815,0.00007816866,0.0001834844,0.000244086,0.8812115,0.03289897,0.001657679,0.0008085281,0.04654346],"study_design_scores_gemma":[0.00004366305,0.001726795,0.05149572,0.00003531931,0.00009005247,0.0001160488,0.000281907,0.9087396,0.03520834,0.0008462159,0.001358766,0.00005749019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232163,0.0001023679,0.0681385,0.00004136334,0.0000118339,0.0002401584,0.0004529702,0.0003373897,0.007458991],"genre_scores_gemma":[0.9924315,0.00002560139,0.00684842,0.00000322975,0.000001442153,0.00003307267,0.0001732104,0.0000102443,0.0004732416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008369132,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193948961799815,"score_gpt":0.3089251308826251,"score_spread":0.286985641264627,"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."}}