{"id":"W1974316628","doi":"10.1115/ipc2002-27213","title":"Target Reliability Levels for Onshore Gas Pipelines","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"BP Global; BP Exploration Operating Company Limited","keywords":"Pipeline transport; Reliability (semiconductor); Pipeline (software); Reliability engineering; Reliability theory; Engineering; Computer science; Failure rate; Mechanical engineering","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":[0.003444446,0.000439458,0.000544914,0.001218378,0.0005481975,0.0009572237,0.0009279321,0.001034698,0.00211927],"category_scores_gemma":[0.008546117,0.0002537714,0.0005449961,0.0005267881,0.0004051294,0.001042745,0.0007215914,0.000843838,0.0008199036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130647,"about_ca_system_score_gemma":0.001097896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003595744,"about_ca_topic_score_gemma":0.00381194,"domain_scores_codex":[0.996365,0.0006818951,0.0001323948,0.0002229123,0.002212621,0.0003850465],"domain_scores_gemma":[0.9927141,0.001492402,0.0008535425,0.0006963335,0.004087957,0.0001555986],"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":[0.001024504,0.0003931288,0.0154394,0.0005207429,0.00005521718,0.0004957935,0.001195462,0.623841,0.2146706,0.02771043,0.006635327,0.1080184],"study_design_scores_gemma":[0.0001234713,0.005892446,0.03799857,0.0001956967,0.00009304589,0.001043112,0.0008350899,0.4427169,0.459811,0.01907685,0.03200667,0.0002071131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4770579,0.0005578142,0.4785121,0.0005669515,0.00007119616,0.0003972519,0.0007689596,0.002447595,0.03962024],"genre_scores_gemma":[0.957831,0.000240236,0.03709776,0.00009909971,0.00001518457,0.0002771713,0.0004845061,0.0002089654,0.003746038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003595744,"threshold_uncertainty_score":0.01821619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04559246456226824,"score_gpt":0.2633292345894825,"score_spread":0.2177367700272143,"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."}}