{"id":"W2007550250","doi":"10.1115/ipc2014-33349","title":"Application of Multi-Nodal Network Simulation Models in Debottlenecking Complex Pipeline Network","year":2014,"lang":"en","type":"article","venue":"","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Alliance Canada","funders":"","keywords":"Pipeline (software); Computer science; Terminal (telecommunication); Focus (optics); Complex network; Pipeline transport; Network simulation; Network model; Distributed computing; Systems engineering; Data mining; Engineering; Computer network","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":[0.0006974267,0.0005421911,0.0006091107,0.0005696716,0.0005471529,0.000959911,0.0009249657,0.001149081,0.001923544],"category_scores_gemma":[0.002295816,0.0004329357,0.0006843983,0.0007204703,0.0006258863,0.001005065,0.0007915605,0.0007361205,0.0001919967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344287,"about_ca_system_score_gemma":0.0009162762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02528101,"about_ca_topic_score_gemma":0.0141981,"domain_scores_codex":[0.9997123,0.0001574207,0.00001271105,0.00003666788,0.00005248996,0.00002839874],"domain_scores_gemma":[0.9991657,0.0005517826,0.00007945472,0.00005106178,0.000109983,0.00004209322],"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":[0.000004773719,0.000003671849,0.0001155037,0.000003698972,0.000001830656,0.00001300221,0.00001137652,0.9978739,0.0001322724,0.001239789,0.00002615085,0.0005740114],"study_design_scores_gemma":[0.000001160893,0.000002785982,0.00001564865,0.000001077251,7.56527e-7,0.000001516802,0.000004199224,0.9994839,0.00006374704,0.0003286765,0.00009514147,0.00000125566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1787902,0.0003392583,0.8022393,0.0006231237,0.00006452132,0.0001336895,0.0003121019,0.0005074581,0.01699038],"genre_scores_gemma":[0.9322641,0.0004347559,0.06243326,0.00005380541,0.0000149598,0.000138792,0.0001596647,0.00007766111,0.004422805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02528101,"threshold_uncertainty_score":0.0502677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917465609937913,"score_gpt":0.3128983867847108,"score_spread":0.2737237306853316,"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."}}