{"id":"W2072182861","doi":"10.1109/oceans.2014.7003172","title":"Robust control of managed pressure drilling","year":2014,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drilling; Choke; Controller (irrigation); Computer science; Drill; Petroleum engineering; Measurement while drilling; Underbalanced drilling; Well control; Pressure control; Drilling fluid; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004487622,0.0005823416,0.0005892922,0.0002191805,0.0001943245,0.0008786044,0.0006914317,0.0005720099,0.0008366035],"category_scores_gemma":[0.001375423,0.0002235638,0.0003555526,0.0001782526,0.0006346327,0.0003747238,0.0007508239,0.0005054366,0.0001436352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003242967,"about_ca_system_score_gemma":0.0004067449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001953277,"about_ca_topic_score_gemma":0.001171086,"domain_scores_codex":[0.9995611,0.00007798692,0.00002203508,0.0001052166,0.0001757534,0.00005790159],"domain_scores_gemma":[0.9994658,0.00017681,0.0001653662,0.00004622378,0.0001261796,0.00001971352],"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":[0.0002551104,0.00004083821,0.0004860884,0.000292215,0.00007744729,0.0002915674,0.0001216339,0.8600625,0.08344832,0.01854393,0.0007715992,0.03560876],"study_design_scores_gemma":[0.00002302761,0.0002127194,0.0003426985,0.000008429557,0.00001057386,0.00002802186,0.000009425867,0.9904322,0.005794086,0.002200852,0.0009249215,0.00001310205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08563554,0.0005260205,0.9046772,0.0001672807,0.0001216487,0.00004449425,0.00008336239,0.000631395,0.008113058],"genre_scores_gemma":[0.9909626,0.0000944496,0.007724154,0.0000194259,0.00001572386,0.00003115645,0.00002481257,0.00001183579,0.001115828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001953277,"threshold_uncertainty_score":0.003883898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005421598386385674,"score_gpt":0.1482526266095695,"score_spread":0.1428310282231839,"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."}}