{"id":"W2739385093","doi":"10.2118/0717-0042-jpt","title":"Slug-Smoothing Technology Sees Over 200 Shale Installs, Gets Boost From Schlumberger JV","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial lift; NonStop; Gas lift; Lift (data mining); Slugging; Joint venture; Geology; Engineering; Business; Operations management; Computer science; Petroleum engineering; Economics; Commerce; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002732556,0.0003005921,0.0005918309,0.001251519,0.0002797906,0.0001127537,0.001192311,0.000733787,0.0001456265],"category_scores_gemma":[0.0002971776,0.0002832077,0.0001592177,0.0001770019,0.000349914,0.0006449228,0.0002610297,0.001398219,0.0000480067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002057313,"about_ca_system_score_gemma":0.00004620052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000624993,"about_ca_topic_score_gemma":0.00007205754,"domain_scores_codex":[0.9982742,0.00001617346,0.0006857829,0.000280563,0.0002723567,0.0004708919],"domain_scores_gemma":[0.9981874,0.00002313369,0.0005452163,0.0009682756,0.0001882578,0.00008770476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000147208,0.000438014,0.138772,0.0001609402,0.001345045,0.001496077,0.0003059019,0.001154772,0.3560922,0.003980765,0.03007417,0.4660329],"study_design_scores_gemma":[0.002535523,0.0006796934,0.02523549,0.0005419388,0.0002035332,0.001307761,0.0005546555,0.00098539,0.5539987,0.07690309,0.3358511,0.001203079],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826874,0.004165588,0.001372912,0.005843217,0.001531319,0.00006827759,0.00001896807,0.001088225,0.003224124],"genre_scores_gemma":[0.9891498,0.001290985,0.008620187,0.00005568508,0.0004691587,0.00001057617,0.000001973363,0.0000660912,0.0003355099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4648298,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006009789991669642,"score_gpt":0.2295444012586257,"score_spread":0.223534611266956,"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."}}