{"id":"W2018937898","doi":"10.2118/0811-0024-jpt","title":"Automation and Surveillance Improve Progressing Cavity Pump Performance","year":2011,"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":"SCADA; Automation; Microprocessor; Torque; Computer science; Engineering; Mechanical engineering; Embedded system; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001428493,0.0006268701,0.0007151544,0.001002596,0.0004056463,0.00185557,0.0006810309,0.0005556788,0.003671356],"category_scores_gemma":[0.005123566,0.000233149,0.0003065191,0.0006306719,0.0003132316,0.001560566,0.0009782154,0.0007067996,0.001632283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004194987,"about_ca_system_score_gemma":0.000736098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002642002,"about_ca_topic_score_gemma":0.001420699,"domain_scores_codex":[0.9986761,0.0001639897,0.00008979614,0.0002710931,0.0006547494,0.0001442676],"domain_scores_gemma":[0.9955471,0.001264375,0.000910188,0.0005023372,0.00157775,0.0001983429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001177595,0.0008946611,0.04091223,0.0002249878,0.00004111345,0.0001878197,0.0003842232,0.06226176,0.1875246,0.0009851799,0.004415714,0.7009902],"study_design_scores_gemma":[0.0001183328,0.003945122,0.1378686,0.0001014104,0.0001326784,0.0004897981,0.0006194649,0.5563067,0.2721732,0.001317554,0.0267267,0.0002004878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7579072,0.0009640607,0.2173503,0.0004805517,0.0001750145,0.000244869,0.0004121791,0.01249315,0.009972649],"genre_scores_gemma":[0.9549431,0.000236268,0.04146057,0.00005625042,0.00003792239,0.00002721021,0.0003903291,0.000201193,0.00264722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003671356,"threshold_uncertainty_score":0.01228189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007495329111797963,"score_gpt":0.2002936928391277,"score_spread":0.1927983637273298,"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."}}