{"id":"W2523078992","doi":"10.2118/181232-ms","title":"Enhance Production in Tight-Casing with ESP in Artificial Sump","year":2016,"lang":"en","type":"article","venue":"","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Casing; Workover; Petroleum engineering; Gas lift; Artificial lift; Environmental science; Marine engineering; Drawdown (hydrology); Wellhead; Engineering; Geotechnical engineering","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":[0.0001242567,0.00007054302,0.00007488262,0.0001312349,0.00001045852,0.000008607713,0.00003411535,0.00003360267,0.00004161236],"category_scores_gemma":[0.0000174975,0.00004553969,0.000007613135,0.0002056962,0.00001874877,0.0002086599,0.000005110585,0.00006155692,0.00002664952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006097809,"about_ca_system_score_gemma":0.000006242544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003074388,"about_ca_topic_score_gemma":0.0006200023,"domain_scores_codex":[0.9995013,0.00001035575,0.0001316754,0.0001582696,0.00006246096,0.0001359035],"domain_scores_gemma":[0.9998338,0.000006710185,0.000009955868,0.0001200299,0.0000149626,0.00001457189],"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":[0.00004725514,0.00006075562,0.007267251,0.00004498456,0.000005481219,0.000008090766,0.0003218449,0.0006481077,0.3255975,0.0003811289,0.001053766,0.6645638],"study_design_scores_gemma":[0.00005144991,0.00001974759,0.002920952,0.00007192848,7.407368e-7,0.000004517397,0.00001831364,0.00004809807,0.9949304,0.001016388,0.0008200973,0.00009738862],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922688,0.00003543451,0.002788067,0.001137883,0.0002129591,0.0001128268,2.664983e-7,0.0004292844,0.003014473],"genre_scores_gemma":[0.9969745,0.00003621658,0.002018463,0.000007646765,0.0001230616,0.00002169014,3.209369e-7,0.000012744,0.0008053874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6693329,"threshold_uncertainty_score":0.1857055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007841003723033547,"score_gpt":0.2131873207048323,"score_spread":0.2053463169817987,"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."}}