{"id":"W1963833590","doi":"10.2118/08-12-55","title":"Simulation and Optimization of Continuous Pig Lift Systems","year":2008,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Technische Universität Clausthal; University of Regina","keywords":"Gas lift; Slippage; Lift (data mining); Artificial lift; Mechanics; Pressure drop; Volumetric flow rate; Flow (mathematics); Petroleum engineering; Two-phase flow; Mass flow rate; Materials science; Engineering; Computer science; Physics; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001006863,0.00007026051,0.0002117992,0.001825186,0.00003424881,0.00000604456,0.00008114889,0.0001471161,0.000006633718],"category_scores_gemma":[0.00006999493,0.0000703729,0.00002510541,0.0003331951,0.0000675189,0.000105417,0.000004805882,0.0001632921,5.713821e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006724865,"about_ca_system_score_gemma":0.00005695282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00084634,"about_ca_topic_score_gemma":0.0005766496,"domain_scores_codex":[0.9994178,0.000009857147,0.0003158501,0.00005391486,0.00007963296,0.0001229011],"domain_scores_gemma":[0.9995108,0.00001576069,0.0001286629,0.00009400352,0.0001703985,0.0000803852],"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":[0.000003817934,0.000004380535,0.001931717,0.00002250109,0.00002647319,0.00002560005,0.00003638002,0.9936507,0.0004047888,0.0001860727,0.0008126004,0.002894979],"study_design_scores_gemma":[0.001695052,0.001314845,0.002981013,0.0002928761,0.0001179859,0.004446005,0.0006305159,0.817057,0.02562317,0.0009311465,0.1442559,0.0006545677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950282,0.0055079,0.03972331,0.001562916,0.0008223584,0.0001224292,0.00001369776,0.0002765766,0.001688819],"genre_scores_gemma":[0.9959356,0.0005373707,0.003376985,0.000008906473,0.00006755722,0.000001378091,6.724824e-7,0.00001297029,0.00005861668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1765938,"threshold_uncertainty_score":0.2869724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00783946867169865,"score_gpt":0.1927082798703961,"score_spread":0.1848688111986974,"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."}}