{"id":"W2064996490","doi":"10.2118/165576-pa","title":"Application of Analytical Proxy Models in Reservoir Estimation for SAGD Process: UTF-Project Case Study","year":2013,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Petroleum engineering; Steam-assisted gravity drainage; Reservoir simulation; Matching (statistics); Steam injection; Process (computing); Oil field; Asphalt; Proxy (statistics); Engineering; Oil sands; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005075746,0.00012041,0.0003381126,0.003534509,0.0000267589,0.00001791374,0.0002221466,0.0001824369,0.000003726263],"category_scores_gemma":[0.0003062453,0.0001165019,0.00005218642,0.001107246,0.00002764466,0.0002599956,0.000007978478,0.0003018361,8.219689e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000206187,"about_ca_system_score_gemma":0.0001782148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00696396,"about_ca_topic_score_gemma":0.00997476,"domain_scores_codex":[0.9988255,0.00002612039,0.0006410909,0.0001102026,0.0001445075,0.0002525791],"domain_scores_gemma":[0.9990904,0.00007620423,0.0001297043,0.0002210807,0.000376169,0.0001064268],"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":[0.000007558619,0.00003075087,0.003224602,0.00008341239,0.00003468783,0.0000493951,0.0001777243,0.9924111,0.00008305277,0.0002865862,0.0001483441,0.003462831],"study_design_scores_gemma":[0.0007270133,0.0002266328,0.0003148539,0.00002653832,0.00002046069,0.0002333503,0.001129575,0.9936541,0.0001406917,0.003134251,0.0002950209,0.00009755853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8293556,0.00009024674,0.1696125,0.000265963,0.00005511121,0.0004493663,0.000004542683,0.00004059222,0.0001260386],"genre_scores_gemma":[0.9753935,0.000007175479,0.02439944,0.000003916594,0.00003065087,0.0001224543,0.000001459801,0.00002447996,0.00001693153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1460379,"threshold_uncertainty_score":0.9996487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284442914909705,"score_gpt":0.305619434567794,"score_spread":0.2827750054186969,"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."}}