{"id":"W2041830469","doi":"10.1115/ipc2014-33350","title":"Verification and Validation of Pipeline Terminal Simulation Models","year":2014,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Alliance Canada","funders":"","keywords":"Verification and validation of computer simulation models; Computer science; Pipeline (software); Terminal (telecommunication); Verifiable secret sharing; Model validation; Verification and validation; Calibration; Software; Software verification; Process (computing); Formal verification; Reliability engineering; Simulation; Software development; Engineering; Software construction; Algorithm; Programming language","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":[0.0176778,0.0008951234,0.0008112778,0.001365801,0.0009270276,0.002439407,0.002811933,0.001665924,0.004077431],"category_scores_gemma":[0.05247806,0.0006748443,0.001472608,0.000742831,0.002343331,0.002619666,0.002211004,0.001534583,0.0006854437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002609501,"about_ca_system_score_gemma":0.005856295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009873995,"about_ca_topic_score_gemma":0.005155056,"domain_scores_codex":[0.9842144,0.00666521,0.001220332,0.0009381913,0.006267393,0.0006944395],"domain_scores_gemma":[0.9496282,0.02830573,0.003415451,0.01001635,0.008254852,0.0003793401],"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":[0.0002122966,0.0001211279,0.004363626,0.0001568916,0.00005929824,0.0002157091,0.0002542194,0.9316033,0.00803822,0.03278581,0.0008220487,0.02136746],"study_design_scores_gemma":[0.00004323628,0.0001089202,0.0005532645,0.00006899289,0.00001730229,0.00004045773,0.00005481557,0.9744295,0.01321256,0.009392693,0.002054901,0.00002330855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1272803,0.0001077487,0.8610163,0.0004706244,0.00007197545,0.0003479445,0.0005772807,0.00213251,0.007995408],"genre_scores_gemma":[0.8559856,0.0001473043,0.1407134,0.0000801157,0.00001449084,0.0003320004,0.0007620316,0.000244438,0.001720659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0176778,"threshold_uncertainty_score":0.09349024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576744733305341,"score_gpt":0.4287855061585236,"score_spread":0.2711110328279895,"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."}}