{"id":"W4303453587","doi":"10.1115/1.4055907","title":"Experimental Investigation into Liquid and Solid Separation by an Industrial Mesh-Vane-Type Separator on Natural Gas at 4–5 MPa, Different Liquid Loadings and Gas Flows","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; Nova Chemicals (Canada)","funders":"","keywords":"Separator (oil production); Natural gas; Gas compressor; Industrial gas; Nozzle; Piping; Petroleum engineering; Wet gas; Environmental science; Materials science; Nuclear engineering; Waste management; Environmental engineering; Mechanical engineering; Engineering; Mechanics","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":[0.000422016,0.000364045,0.0003692917,0.0003048713,0.0005744159,0.0003154757,0.0004763883,0.0004935426,0.001106131],"category_scores_gemma":[0.0005546067,0.0001768625,0.0002629627,0.0003764702,0.0003542326,0.0004035517,0.0003052238,0.0003671791,0.0003375314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239092,"about_ca_system_score_gemma":0.0003733428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002024726,"about_ca_topic_score_gemma":0.003060833,"domain_scores_codex":[0.9996257,0.00004907809,0.0000375301,0.00008297135,0.000137423,0.00006733857],"domain_scores_gemma":[0.9994583,0.0002235129,0.00008070457,0.00003610771,0.0001707454,0.00003068141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002393283,0.00009441866,0.001045613,0.00006586703,0.000008244485,0.00007741724,0.0001224204,0.0003185323,0.9959028,0.00002509473,0.00003793983,0.002062308],"study_design_scores_gemma":[0.00001079504,0.001117641,0.003943216,0.000005009178,0.00001220764,0.00005319709,0.00009880001,0.001679074,0.9926546,0.00001046464,0.0004082096,0.000006957441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988311,0.00008798559,0.0006915164,0.00001563434,0.000004399926,0.0000146246,0.00009615543,0.00003163533,0.0002269863],"genre_scores_gemma":[0.9969811,0.0001598952,0.002098858,0.00001623623,0.000004070027,0.00001891835,0.0001664147,0.00001906753,0.0005354373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002024726,"threshold_uncertainty_score":0.004025877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006701564482335436,"score_gpt":0.2290820142284736,"score_spread":0.2223804497461381,"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."}}