{"id":"W2161524901","doi":"10.5897/jptaf.9000028","title":"Systematic approach for improving performance of progressive cavity pumping systems in a deep heavy oil reservoir","year":2011,"lang":"en","type":"article","venue":"Journal of Petroleum Technology and Alternative Fuels","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Thread (computing); Oil well; Petroleum engineering; Torque; Progressive cavity pump; Scalability; Oil production; Engineering; Mechanical engineering; Computer science; Hydraulic pump; 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007508901,0.0001510527,0.0005310857,0.0008314637,0.00004334115,0.0000124047,0.0002569428,0.0001393641,8.629784e-7],"category_scores_gemma":[0.0001219259,0.0001207919,0.00006177752,0.0002285924,0.0001193912,0.0002937268,0.00004349325,0.0003677873,1.629468e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007171155,"about_ca_system_score_gemma":0.00001696156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001028002,"about_ca_topic_score_gemma":0.000001538646,"domain_scores_codex":[0.9987957,0.00004395036,0.000683118,0.0001389289,0.0001300546,0.0002082134],"domain_scores_gemma":[0.9990328,0.00003793427,0.0005224319,0.0001547801,0.0002168215,0.00003521957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002971728,0.002444202,0.1144205,0.524465,0.003813212,0.0003931761,0.01662059,0.03440442,0.1329239,0.01578299,0.00007771115,0.1516826],"study_design_scores_gemma":[0.002668985,0.002859534,0.001617077,0.01069357,0.0002220064,0.001392772,0.004612635,0.1753855,0.7960303,0.003832938,0.00002545763,0.0006591443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851938,0.005820758,0.008231797,0.00002702338,0.0002253658,0.00018328,0.000003719648,0.00007763547,0.0002365438],"genre_scores_gemma":[0.9917317,0.0002931902,0.00774963,0.000002131441,0.0000714331,0.0001057888,3.980415e-7,0.0000173445,0.00002836609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6631064,"threshold_uncertainty_score":0.492575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548404549880508,"score_gpt":0.2293452116206285,"score_spread":0.2138611661218234,"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."}}