{"id":"W2013880577","doi":"10.1115/ipc2002-27224","title":"Probability of Exceedance (POE) Methodology for Developing Integrity Programs Based on Pipeline Operator-Specific Technical and Economic Factors","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":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Pipeline (software); Integrity management; Reliability engineering; Schedule; Interval (graph theory); Process (computing); Probabilistic logic; Computer science; Pipeline transport; Risk analysis (engineering); Scope (computer science); Engineering; Operations research; 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":[0.01146778,0.00232441,0.00180556,0.005112609,0.0006953339,0.002226866,0.002346972,0.001449835,0.008005099],"category_scores_gemma":[0.03217531,0.00157252,0.00310165,0.002190199,0.001178018,0.003280116,0.002472437,0.003437707,0.0008998523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853324,"about_ca_system_score_gemma":0.003051166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004768244,"about_ca_topic_score_gemma":0.003466974,"domain_scores_codex":[0.9911003,0.003103616,0.0005849231,0.001266876,0.003381984,0.0005623351],"domain_scores_gemma":[0.9776333,0.01673993,0.002185599,0.001120765,0.002100624,0.0002197586],"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":[0.0001017146,0.0002236187,0.004937978,0.0003632674,0.0002586599,0.000230533,0.0002057088,0.8618309,0.00252235,0.05750571,0.00231403,0.06950556],"study_design_scores_gemma":[0.00002485495,0.0003032597,0.001360719,0.00006716381,0.00006905015,0.000174776,0.0000781358,0.9612098,0.002106189,0.03037558,0.004180971,0.00004952198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005912895,0.00008421866,0.9892507,0.00008388337,0.00001458875,0.0003734852,0.0002104209,0.0003942477,0.003675601],"genre_scores_gemma":[0.274895,0.0002621767,0.7183099,0.0001930492,0.00006162503,0.001683317,0.0008668929,0.0002836134,0.003444377],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01146778,"threshold_uncertainty_score":0.06064814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1592720969744279,"score_gpt":0.306098027290948,"score_spread":0.1468259303165201,"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."}}