{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002579093,0.0002215146,0.0002049371,0.0004773258,0.0008195072,0.000300171,0.0003114936,0.0001924114,0.001039584],"category_scores_gemma":[0.0003509359,0.0001043635,0.0002079525,0.0003815008,0.0002646238,0.0002248211,0.0005169279,0.0002272292,0.0001190434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008071598,"about_ca_system_score_gemma":0.000636543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03085373,"about_ca_topic_score_gemma":0.05657804,"domain_scores_codex":[0.9998326,0.00002365998,0.000005645555,0.00001981868,0.00005187537,0.00006640899],"domain_scores_gemma":[0.9998916,0.00002961966,0.00001293935,0.00001617846,0.00003132377,0.00001824409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002372228,0.0005812609,0.10635,0.0006157651,0.00005623969,0.005757255,0.001516843,0.04310101,0.663965,0.00116999,0.0007271463,0.1737873],"study_design_scores_gemma":[0.0002074523,0.00462611,0.1967777,0.0000795,0.000131012,0.001288394,0.003618763,0.1190476,0.6587315,0.0006389842,0.01475788,0.00009501375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974821,0.00007017486,0.001153022,0.00002667813,0.000004948342,0.00001660103,0.00002536125,0.00003884752,0.001182234],"genre_scores_gemma":[0.9981742,0.0000357925,0.001127168,0.000002394376,0.000001026877,0.00000461768,0.00002134864,0.000003821552,0.0006295255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03085373,"threshold_uncertainty_score":0.06134826,"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."}}