{"id":"W2025314493","doi":"10.2118/2007-125","title":"New Improvements on Managed Pressure Drilling","year":2007,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Petrobras; University of Tulsa; U.S. Department of Energy","keywords":"Drilling; Petroleum engineering; Computer science; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001169885,0.0001514724,0.0000974982,0.0003075464,0.00004546141,0.00008942019,0.000306837,0.00007043768,0.000398893],"category_scores_gemma":[0.00002029296,0.000176279,0.00004014911,0.00007119363,0.00000924431,0.00009684081,0.00001091727,0.000217401,0.0001444596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001982758,"about_ca_system_score_gemma":0.00007424334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006705582,"about_ca_topic_score_gemma":0.01888201,"domain_scores_codex":[0.9990858,0.000002860667,0.0001741593,0.0001733724,0.0001994514,0.0003643685],"domain_scores_gemma":[0.9993564,0.00002625877,0.00001785747,0.0001577161,0.00004600954,0.0003957007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001058241,0.00000547812,0.00106319,0.00002762251,0.0001975423,0.00006031249,0.0001393516,0.9426209,0.001491649,0.02006452,0.006545066,0.02777378],"study_design_scores_gemma":[0.0004205337,0.00002730874,0.005064043,0.0001072608,0.00001395252,0.000005477297,0.00004054593,0.4944878,0.002827143,0.0003789346,0.4962524,0.0003746355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.15158,0.0002460456,0.317508,0.0004749699,0.006570952,0.0001623776,0.00008594889,0.0005914245,0.5227803],"genre_scores_gemma":[0.9919246,0.00002382021,0.0006250471,0.0001296198,0.000362815,0.000003220252,0.00002623975,0.0000305751,0.006874089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8403445,"threshold_uncertainty_score":0.9999089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009061530611369453,"score_gpt":0.2018851798452504,"score_spread":0.1928236492338809,"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."}}