{"id":"W2035122180","doi":"10.2118/97370-ms","title":"Application of Gas Lift to Heavy-Oil Reservoir in Intercampo Oilfield, Venezuela","year":2005,"lang":"en","type":"article","venue":"","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"PetroChina Company Limited","keywords":"Gas lift; Petroleum engineering; Lift (data mining); Artificial lift; Environmental science; Oil production; Production rate; Water cut; Engineering; Computer science; Process 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":[0.0001125686,0.00006067991,0.00008982277,0.0001112611,0.00000672658,0.000005277805,0.00009763299,0.0000467708,0.00004750989],"category_scores_gemma":[0.00001588218,0.00006010251,0.00002034735,0.0001746139,0.000007435957,0.00007868744,0.00002336125,0.00007843324,0.00005065657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003592409,"about_ca_system_score_gemma":0.000003468603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001154277,"about_ca_topic_score_gemma":0.0002695952,"domain_scores_codex":[0.9995425,0.000006741655,0.0001836098,0.0001061017,0.00006244138,0.000098618],"domain_scores_gemma":[0.9997155,0.00001032764,0.00001071058,0.0002073117,0.00002409519,0.00003204933],"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":[0.00002718201,0.00006788929,0.001101919,0.000101677,0.000007853112,4.022118e-7,0.0005767839,0.01247896,0.02931446,0.0007526447,0.01656519,0.939005],"study_design_scores_gemma":[0.00009543843,0.00003710471,0.0006136386,0.00003006193,0.000001667403,0.000001890385,0.00004902369,0.003215879,0.89825,0.0005851067,0.09700983,0.0001104058],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244388,0.000264441,0.01436718,0.005845464,0.0001279763,0.0001410148,0.00000246572,0.0007368754,0.05407574],"genre_scores_gemma":[0.9878839,0.00008583713,0.01115648,0.0001135474,0.00009094616,0.00004610142,0.000002094066,0.0000111514,0.0006099588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9388946,"threshold_uncertainty_score":0.2450909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007532653776138604,"score_gpt":0.2379710650070266,"score_spread":0.230438411230888,"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."}}