{"id":"W2039493285","doi":"10.1115/ipc2002-27091","title":"Meta-Risk as a Method for Addressing Uncertainty in a Pipeline Risk Management System","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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Risk assessment; Risk management; Risk analysis (engineering); Range (aeronautics); Point estimation; Computer science; Uncertainty quantification; Expert elicitation; Process (computing); Reliability engineering; Econometrics; Statistics; Mathematics; 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":[0.08058364,0.003516895,0.005014601,0.01837501,0.001556822,0.009804945,0.005316858,0.003992136,0.004633007],"category_scores_gemma":[0.0964038,0.002202292,0.01094906,0.01039117,0.002895772,0.00740326,0.005393961,0.005549428,0.0005379039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004914916,"about_ca_system_score_gemma":0.007023159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00310243,"about_ca_topic_score_gemma":0.003758928,"domain_scores_codex":[0.9410289,0.04665964,0.002672777,0.002338756,0.0069994,0.000300574],"domain_scores_gemma":[0.9006443,0.0865657,0.00333338,0.006373132,0.00261903,0.0004645109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003534657,0.0001091626,0.001717526,0.004489065,0.009966487,0.0004267328,0.001011124,0.3216084,0.0006776992,0.4621673,0.00623392,0.1912391],"study_design_scores_gemma":[0.0001972087,0.0002069452,0.000314343,0.001408156,0.003675708,0.0003568739,0.000161947,0.2433246,0.001209101,0.721118,0.02780742,0.0002197592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009427401,0.003509499,0.9911698,0.001403793,0.0001086167,0.0002643162,0.0002770372,0.0003719913,0.001952174],"genre_scores_gemma":[0.03465202,0.002841819,0.9594836,0.0004780186,0.0002300659,0.001329293,0.0002544844,0.0001324336,0.0005982568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08058364,"threshold_uncertainty_score":0.4261721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06611696940147313,"score_gpt":0.2988244436617585,"score_spread":0.2327074742602854,"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."}}