{"id":"W1899580999","doi":"10.1306/13301415m961039","title":"Proxy Models for Fast Transfer of Static Uncertainty to Reservoir Performance Uncertainty","year":2011,"lang":"en","type":"book-chapter","venue":"American Association of Petroleum Geologists eBooks","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Proxy (statistics); Petroleum engineering; Workflow; Field (mathematics); Uncertainty analysis; Computer science; Natural gas field; Operations research; Industrial engineering; Geology; Engineering; Simulation; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008174538,0.0004894279,0.001179702,0.0003981616,0.00005131826,0.00001312508,0.0004250002,0.0003246671,0.00003942188],"category_scores_gemma":[0.0001296565,0.0005043843,0.0003378366,0.00006594277,0.0001757737,0.0000667551,0.00004390544,0.0003848229,0.000006246343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004924263,"about_ca_system_score_gemma":0.0001122186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001838673,"about_ca_topic_score_gemma":0.00006904001,"domain_scores_codex":[0.9975133,0.00006234663,0.001017412,0.0003859241,0.0005268568,0.0004941675],"domain_scores_gemma":[0.9978337,0.0005198434,0.0004574769,0.0005206818,0.0005200151,0.0001482531],"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":[0.000128493,0.00001183458,0.0002245206,0.0004604585,0.0003316322,5.075022e-7,0.0006008198,0.9868655,0.000113951,0.006453724,0.0003511601,0.004457444],"study_design_scores_gemma":[0.001300763,0.001155532,0.0003637849,0.0003512285,0.0002411153,9.120147e-7,0.00008043768,0.9608321,0.0007729379,0.006535944,0.02737854,0.0009867552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1222444,0.0001429831,0.4506922,0.0001759575,0.00068251,0.002101854,0.001317807,0.0006883751,0.4219539],"genre_scores_gemma":[0.8494705,0.00009749991,0.01049147,0.00004157709,0.00009390339,0.0001723778,0.0001152949,0.0001488278,0.1393685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7272261,"threshold_uncertainty_score":0.9997408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334302153264098,"score_gpt":0.2484905528370245,"score_spread":0.2251475313043835,"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."}}