{"id":"W2019031207","doi":"10.1002/cjce.21828","title":"Advanced simulation of transient multiphase flow &amp; flow assurance in the oil &amp; gas industry","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flow assurance; Multiphase flow; Flow (mathematics); Computational fluid dynamics; Transient (computer programming); Petroleum engineering; Two-phase flow; Tracking (education); Fossil fuel; Fluid dynamics; Lagrangian particle tracking; Sophistication; Mechanics; Computer science; Engineering; Simulation; Aerospace engineering; Chemistry; Physics; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002562763,0.0001361834,0.0001920682,0.0001202379,0.00002612146,0.0000341505,0.000284135,0.0001260261,0.00003364906],"category_scores_gemma":[0.0001897129,0.00009944537,0.00008199265,0.0002253293,0.0000297654,0.0001383212,0.000004275675,0.0007169885,0.000003358976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469023,"about_ca_system_score_gemma":0.00007025211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000336091,"about_ca_topic_score_gemma":0.001179714,"domain_scores_codex":[0.9990941,0.00001354771,0.0003804345,0.00006361693,0.0001661865,0.0002821029],"domain_scores_gemma":[0.999337,0.0001797603,0.00004703274,0.0001765556,0.00007819619,0.0001814478],"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":[0.000002735088,0.000004213311,0.00002640764,0.00003928881,0.00001538189,0.000004069911,0.0007452716,0.9369619,0.05822757,0.0000112754,0.00006308369,0.003898751],"study_design_scores_gemma":[0.0003755798,0.000005488369,0.0001593762,0.0001644824,0.00001104704,0.00002862812,0.00001676085,0.9958635,0.00218366,0.00004109001,0.00103168,0.0001187102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817486,0.0004562331,0.01711767,0.0002669199,0.0002226292,0.00006796392,0.000009036019,0.0000117308,0.00009924924],"genre_scores_gemma":[0.9952472,0.000008000469,0.004574227,0.00003349023,0.00009364969,0.000005246011,0.000003669485,0.00002526745,0.00000926301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05890154,"threshold_uncertainty_score":0.4055265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008313782271743718,"score_gpt":0.1982275620657913,"score_spread":0.1899137797940475,"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."}}