{"id":"W2315466686","doi":"10.1061/9780784479360.078","title":"The Need for Holistic System-Wide Transient Assessment","year":2015,"lang":"en","type":"article","venue":"Pipelines 2015","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sleep Society; Aecom (Canada)","funders":"","keywords":"Transient (computer programming); Benchmarking; Pipeline (software); Process (computing); Computer science; Risk analysis (engineering); Reliability engineering; Best practice; Systems engineering; Engineering; Business","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":[0.008070718,0.001189959,0.001864065,0.003054771,0.0008086933,0.004814775,0.002283229,0.001624038,0.00214896],"category_scores_gemma":[0.01216127,0.0005967373,0.0008823731,0.002120954,0.001118861,0.008403205,0.003667876,0.001856359,0.0004941975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056259,"about_ca_system_score_gemma":0.004781932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004996345,"about_ca_topic_score_gemma":0.006530319,"domain_scores_codex":[0.9961789,0.001356947,0.0003423964,0.0004033281,0.00147902,0.00023943],"domain_scores_gemma":[0.99269,0.002194886,0.0007258987,0.001027245,0.00299652,0.0003654239],"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":[0.0001026802,0.0002636526,0.01773722,0.001652286,0.0004023866,0.0004498349,0.0009649779,0.5317183,0.01682896,0.03769501,0.006710751,0.385474],"study_design_scores_gemma":[0.00004743411,0.001122354,0.02395857,0.001224241,0.0004183553,0.000621373,0.009430247,0.723084,0.00910481,0.1666361,0.06399882,0.0003537031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06470589,0.003584032,0.9005391,0.004916002,0.0001606141,0.0007300932,0.0008254488,0.002098878,0.02243997],"genre_scores_gemma":[0.5937113,0.003613396,0.3982846,0.0006829916,0.0001136003,0.0004293637,0.0008348738,0.0002553344,0.002074416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008070718,"threshold_uncertainty_score":0.04268259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0387209504683152,"score_gpt":0.2769324707561136,"score_spread":0.2382115202877984,"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."}}