{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006858823,0.0003783191,0.0009706245,0.01068865,0.000303202,0.0006883328,0.0006556979,0.0004190064,0.005464486],"category_scores_gemma":[0.03207954,0.0001538162,0.0008677259,0.005066431,0.0004321812,0.0008354309,0.0005120956,0.0004866635,0.0009422649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006181496,"about_ca_system_score_gemma":0.0007493186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002332874,"about_ca_topic_score_gemma":0.001768437,"domain_scores_codex":[0.9940231,0.001316167,0.0008946539,0.0009629325,0.002402166,0.0004009234],"domain_scores_gemma":[0.9311187,0.04988793,0.004385493,0.005014522,0.008942682,0.0006505567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001651157,0.000410551,0.5634786,0.0006536237,0.0009006623,0.0009155086,0.0007055418,0.1171172,0.00735149,0.007982734,0.01510576,0.2837272],"study_design_scores_gemma":[0.00004906563,0.001795965,0.8785295,0.00007411305,0.0001653101,0.001789592,0.0008079187,0.08760256,0.004693171,0.005515191,0.01883375,0.0001439307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9088444,0.0006582867,0.0542721,0.0001508771,0.00007217702,0.0002644142,0.02720447,0.001612976,0.006920425],"genre_scores_gemma":[0.9629577,0.0002173074,0.008087284,0.00002251234,0.00003513229,0.0001916188,0.02668633,0.0001927897,0.001609292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01068865,"threshold_uncertainty_score":0.03627336,"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."}}