{"id":"W2974033905","doi":"10.2118/196173-ms","title":"Performance Analysis of the Artificial Lift Systems for Heavy Oil Wells in the Egyptian Eastern Desert","year":2019,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lift (data mining); Root cause; Index (typography); Artificial lift; Engineering; Failure mode and effects analysis; Reliability engineering; Computer science; Environmental science; Petroleum engineering; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.0003159743,0.00009066922,0.0001831181,0.0001019823,0.00003778435,0.00003197893,0.0001431675,0.00008730341,0.00001176072],"category_scores_gemma":[0.00001332318,0.00005699157,0.00007066428,0.0003744844,0.00005409483,0.0001409256,0.00002204712,0.0001346563,0.000005334554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001411676,"about_ca_system_score_gemma":0.00001005393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006138762,"about_ca_topic_score_gemma":0.00006488776,"domain_scores_codex":[0.9993212,0.00002899838,0.0002392967,0.0001447885,0.0001309363,0.0001348021],"domain_scores_gemma":[0.9996151,0.00003179034,0.00003983614,0.0002260109,0.00006962177,0.00001763681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00122224,0.001219491,0.1769629,0.006199565,0.00107832,0.000006548123,0.01224939,0.05029099,0.1645451,0.05983381,0.02181712,0.5045745],"study_design_scores_gemma":[0.001580479,0.002169677,0.2440138,0.001987968,0.001282361,0.00004851671,0.008628818,0.459823,0.2359288,0.008593061,0.03391572,0.00202788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963302,0.00008309938,0.0004883044,0.0006499625,0.000115266,0.0002244231,0.00003560778,0.00008439631,0.001988728],"genre_scores_gemma":[0.999468,0.0001992584,0.00005194552,0.00005760935,0.00004915587,0.00004397555,0.0000129335,0.000006404235,0.0001107021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5025467,"threshold_uncertainty_score":0.2324049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903761607733709,"score_gpt":0.2408121782175255,"score_spread":0.2217745621401884,"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."}}