{"id":"W1987717966","doi":"10.1115/1.1790537","title":"A Pumping System to Enhance Production From Gas Wells","year":2004,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; University of Alberta; Husky Energy (Canada)","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Natural Sciences and Engineering Research Council of Canada; Directorate for Computer and Information Science and Engineering","keywords":"Petroleum engineering; Natural gas; Wet gas; Volumetric flow rate; Wellbore; Flow (mathematics); Environmental science; Engineering; Mechanics; Waste management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001582715,0.0001461588,0.0002845482,0.0006829709,0.00005394372,0.00002151563,0.0002962251,0.0001844939,0.000006221724],"category_scores_gemma":[0.00006655083,0.0001333447,0.00006858321,0.0005557559,0.00004686147,0.0001265074,0.00004067256,0.0002820539,0.0000118428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001982109,"about_ca_system_score_gemma":0.00001365833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004177084,"about_ca_topic_score_gemma":0.00001726903,"domain_scores_codex":[0.9989814,0.00001519841,0.0004438901,0.0001793953,0.0001683035,0.0002118646],"domain_scores_gemma":[0.9993569,0.00000953278,0.0001588524,0.0002765316,0.0001304075,0.00006780481],"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":[0.0001139251,0.0001216303,0.0003222617,0.0001337868,0.0003335633,0.0001696037,0.0009365278,0.1493212,0.5442285,0.002637721,0.003475869,0.2982054],"study_design_scores_gemma":[0.00009246539,0.0001568701,0.00003356025,0.0002797859,0.00001779638,0.0003313016,0.0002751487,0.0000230934,0.9109659,0.002923436,0.08476552,0.0001350928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983416,0.001234038,0.009198356,0.00364024,0.0008518472,0.00004612186,0.000001264302,0.0008299648,0.0007821532],"genre_scores_gemma":[0.9907086,0.000233908,0.008159176,0.00004577115,0.0007158832,0.00001033108,4.870647e-7,0.00003045649,0.00009536476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3667374,"threshold_uncertainty_score":0.543764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003260829698222667,"score_gpt":0.2027490207836563,"score_spread":0.1994881910854336,"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."}}