{"id":"W1998427485","doi":"10.2118/158649-pa","title":"Introducing a New Correlation for Multiphase Flow Through Surface Chokes With Newly Incorporated Parameters","year":2012,"lang":"en","type":"article","venue":"SPE Production & Operations","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wellhead; Choke; Separator (oil production); Multiphase flow; Petroleum engineering; Mechanics; Flow (mathematics); Volumetric flow rate; Oil well; Water cut; Environmental science; Geology; Engineering; Thermodynamics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002011882,0.0009563185,0.0008881332,0.001197806,0.000335447,0.0008667103,0.001149528,0.0007587886,0.001003468],"category_scores_gemma":[0.006496845,0.0004774238,0.00110798,0.001284366,0.0006616272,0.00147602,0.0008690042,0.001256319,0.0003343165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007534896,"about_ca_system_score_gemma":0.001594041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006069813,"about_ca_topic_score_gemma":0.005841229,"domain_scores_codex":[0.9986897,0.0004125403,0.00009715125,0.0002257742,0.0004861826,0.00008867936],"domain_scores_gemma":[0.9968809,0.001247801,0.0004069201,0.0004987454,0.000910913,0.00005478116],"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":[0.00006930162,0.00007416538,0.009157085,0.00009830508,0.00007646318,0.0001303519,0.00005174088,0.9329326,0.008953338,0.005762383,0.0006530236,0.04204128],"study_design_scores_gemma":[0.000004273935,0.0000146804,0.0007255446,0.000004603499,0.000006536792,0.00001437908,0.000003614203,0.9964535,0.002044869,0.0002931128,0.0004214706,0.00001343444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07141992,0.0001379815,0.9255492,0.00007522321,0.00006923123,0.0001007253,0.0002101927,0.0008656632,0.001571906],"genre_scores_gemma":[0.7549481,0.0001970413,0.242755,0.00007181128,0.00005023382,0.0002084383,0.000474599,0.0001895721,0.001105162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006069813,"threshold_uncertainty_score":0.01206899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161979256141895,"score_gpt":0.279753318963631,"score_spread":0.2481335264022121,"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."}}