{"id":"W2080515758","doi":"10.1115/ipc2012-90186","title":"Comparison and Analysis of Pipeline Failure Statistics","year":2012,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Failure rate; Pipeline (software); Hazard; Ignition system; Natural gas; Environmental science; Failure mechanism; Failure causes; Statistics; Forensic engineering; Corrosion; Petroleum engineering; Engineering; Reliability engineering; Structural engineering; Materials science; Waste management; Mathematics; Environmental engineering; Metallurgy; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007929651,0.00006453713,0.0002648484,0.0001293629,0.00001496895,0.00000675717,0.00003818237,0.00005307914,0.0005831292],"category_scores_gemma":[0.00002557488,0.00004873634,0.00005587157,0.000407022,0.00004141239,0.00005753252,0.00001121025,0.0000838555,0.000004007466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009491871,"about_ca_system_score_gemma":0.000001183143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008694062,"about_ca_topic_score_gemma":0.0002298642,"domain_scores_codex":[0.9995619,0.00001054503,0.0001949053,0.00004950564,0.00007691392,0.0001062084],"domain_scores_gemma":[0.9997098,0.00007599226,0.00001832436,0.0001025389,0.00003625829,0.00005705916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001453567,0.00009757633,0.8143831,0.0002992423,0.005195947,4.744703e-7,0.002329203,0.1238835,0.006764546,0.01655292,0.01522267,0.01525627],"study_design_scores_gemma":[0.00006351346,0.000007772237,0.1678856,0.000002900608,0.001906292,5.831501e-7,0.0004678635,0.8230726,0.00439794,0.000147031,0.001924315,0.0001235045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7632523,0.0007132874,0.2340296,0.00005546029,0.00008529999,0.0000373299,0.0001022922,0.00007647662,0.001647893],"genre_scores_gemma":[0.9847831,0.00003722074,0.01500265,0.000009341715,0.00001828885,5.462862e-7,0.00004177883,0.000003533698,0.0001035972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6991892,"threshold_uncertainty_score":0.6384856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593579500372361,"score_gpt":0.2735384773278119,"score_spread":0.2576026823240883,"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."}}