{"id":"W2178293777","doi":"10.1115/ipc2004-0321","title":"Target Reliability Levels for Design and Assessment of Onshore Natural Gas Pipelines","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Reliability (semiconductor); Pipeline transport; Reliability engineering; Risk assessment; Set (abstract data type); Computer science; Risk analysis (engineering); Pipeline (software); Natural gas; Function (biology); Engineering; Environmental engineering; Business; Computer security","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":[0.004383367,0.001030836,0.0006177665,0.001437276,0.0005904757,0.001146363,0.001493366,0.001063767,0.001619369],"category_scores_gemma":[0.01279575,0.0003296417,0.0005793246,0.0004195381,0.0004661306,0.001038244,0.001043673,0.0008836435,0.0005453647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159788,"about_ca_system_score_gemma":0.001331101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813521,"about_ca_topic_score_gemma":0.001941853,"domain_scores_codex":[0.9949976,0.001422695,0.0001893767,0.000251656,0.002888251,0.0002503468],"domain_scores_gemma":[0.9923212,0.002241527,0.0009986814,0.0006324656,0.003676331,0.000129864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000289226,0.0001274422,0.005590808,0.0003541741,0.00005989995,0.0001672552,0.0004909246,0.8136069,0.04255087,0.03099154,0.002254031,0.103517],"study_design_scores_gemma":[0.00007452296,0.001459598,0.008123941,0.0002334142,0.0001018288,0.0003459307,0.0003563392,0.8485149,0.09650858,0.027299,0.01685234,0.0001296335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06327255,0.0003682352,0.9201161,0.000217728,0.0000368299,0.0002059621,0.0001386116,0.0007394231,0.01490458],"genre_scores_gemma":[0.860165,0.000344828,0.1355991,0.00008563996,0.00002452091,0.0006249119,0.0002775804,0.0001959503,0.002682559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004383367,"threshold_uncertainty_score":0.02318174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534398287575057,"score_gpt":0.2845327294140153,"score_spread":0.2591887465382647,"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."}}