{"id":"W2083684564","doi":"10.1115/ipc2008-64478","title":"Dealing With Knowledge Uncertainties in Pipeline Reliability Based Design and Assessment","year":2008,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering; TransCanada (Canada)","funders":"","keywords":"Reliability (semiconductor); Randomness; Computer science; Reliability engineering; Uncertainty quantification; Range (aeronautics); Pipeline (software); Confidence interval; Random variable; Reliability theory; Limit (mathematics); Probability distribution; Data mining; Failure rate; Statistics; Engineering; Mathematics; Machine learning","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":[0.02154412,0.001425588,0.002014804,0.003761415,0.00118568,0.006109833,0.003735928,0.002858919,0.001816373],"category_scores_gemma":[0.06518839,0.001475722,0.001648251,0.00264065,0.003241713,0.005798847,0.004763837,0.003284541,0.0004352062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003159998,"about_ca_system_score_gemma":0.004149446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003389482,"about_ca_topic_score_gemma":0.002730989,"domain_scores_codex":[0.9777093,0.009489263,0.001948215,0.001790078,0.00842382,0.0006394108],"domain_scores_gemma":[0.9438983,0.04046539,0.004631154,0.00443412,0.006084775,0.0004862816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007674772,0.00004660981,0.001552798,0.0006183239,0.000175211,0.0004239918,0.001004131,0.709722,0.002723481,0.1382441,0.001058323,0.1443543],"study_design_scores_gemma":[0.0000224352,0.0001152245,0.000779635,0.0004807296,0.000126419,0.0003399885,0.0003105561,0.6851083,0.005358899,0.2932836,0.0139379,0.0001362667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003078148,0.0005258259,0.993875,0.000366645,0.00002219143,0.00005518594,0.00003286239,0.0001172179,0.00192694],"genre_scores_gemma":[0.3873048,0.002169812,0.6071061,0.0003746374,0.0001586941,0.0005769699,0.0002439854,0.0001759085,0.001889182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02154412,"threshold_uncertainty_score":0.1139376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548974076648661,"score_gpt":0.2571142445914245,"score_spread":0.2316245038249379,"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."}}