{"id":"W1995384864","doi":"10.2118/112130-ms","title":"Online Production Optimisation on Ekofisk","year":2008,"lang":"en","type":"article","venue":"Intelligent Energy Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"Statoil; ConocoPhillips","keywords":"Production (economics); Process (computing); Software; Field (mathematics); Computer science; Batch production; Manufacturing engineering; Industrial engineering; Engineering; Systems engineering; Operations management; Operating system","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":[0.00006824939,0.000126113,0.0001066326,0.0001185995,0.00007050173,0.00001893218,0.00004007697,0.00007578712,0.00004818671],"category_scores_gemma":[0.00003215322,0.0001242272,0.00002859,0.0001047361,0.00002920832,0.0001306337,0.000007095523,0.00009584029,0.00001003796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003589439,"about_ca_system_score_gemma":0.000008921329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001820213,"about_ca_topic_score_gemma":0.000007863202,"domain_scores_codex":[0.9993775,0.00002515328,0.0001729429,0.0001660304,0.0001301981,0.0001281364],"domain_scores_gemma":[0.9996941,0.0000297691,0.00001878803,0.0001331537,0.00006444233,0.00005972624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001132833,0.00003289852,0.00005919601,0.00001614916,0.00001094125,0.000002923996,0.0001930612,0.9679713,0.004266812,0.002954463,0.0003727812,0.02410816],"study_design_scores_gemma":[0.0002107373,0.0001134752,0.001583584,0.00009626402,0.000009492986,0.00003508977,0.0000893016,0.8382636,0.1462584,0.001434307,0.01158672,0.0003190072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7464651,0.0001169339,0.2510226,0.0001001085,0.0003363792,0.00004593391,0.000003339335,0.0002600526,0.001649502],"genre_scores_gemma":[0.9941169,0.002139003,0.002881492,0.00003624294,0.0001943998,0.00001282627,0.00008651095,0.00001708595,0.0005155423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2481411,"threshold_uncertainty_score":0.5065839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05062366619044453,"score_gpt":0.2642173853106721,"score_spread":0.2135937191202275,"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."}}