{"id":"W2178293777","doi":"10.1115/ipc2004-0321","title":"Target Reliability Levels for Design and Assessment of Onshore Natural Gas Pipelines","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Reliability (semiconductor); Pipeline transport; Reliability engineering; Risk assessment; Set (abstract data type); Computer science; Risk analysis (engineering); Pipeline (software); Natural gas; Function (biology); Engineering; Environmental engineering; Business; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003117553,0.0002233539,0.0003542428,0.0001371962,0.00007519615,0.0000676686,0.0001971477,0.0001366887,0.0001271846],"category_scores_gemma":[0.0002228549,0.0001870894,0.0001188946,0.0001077295,0.0002146278,0.0002112891,0.00004438632,0.0002677568,0.000001406642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008154658,"about_ca_system_score_gemma":0.0001034875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001319161,"about_ca_topic_score_gemma":0.00007543321,"domain_scores_codex":[0.9987537,0.00002904169,0.000483157,0.0003057112,0.0002302962,0.0001980869],"domain_scores_gemma":[0.9989811,0.0001488818,0.00007803669,0.0001640539,0.0005441501,0.00008379451],"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":[0.0006091044,0.0007527157,0.03279087,0.002300064,0.001848483,0.00001932999,0.002521819,0.6948388,0.02567695,0.08843467,0.01402873,0.1361784],"study_design_scores_gemma":[0.001157867,0.00008698477,0.01077898,0.0001183002,0.00008278473,0.00001595081,0.0002139295,0.9302111,0.00295997,0.04998471,0.004062754,0.0003267277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3839737,0.001481403,0.6087838,0.00261083,0.001129419,0.0005608023,0.0003123352,0.0001351539,0.0010125],"genre_scores_gemma":[0.9307749,0.0003909345,0.06808655,0.00004639529,0.0001681198,0.00002320499,0.00008377565,0.00001415868,0.0004120142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5468011,"threshold_uncertainty_score":0.7629284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534398287575057,"score_gpt":0.2845327294140153,"score_spread":0.2591887465382647,"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."}}