{"id":"W2273063039","doi":"10.1007/s13202-016-0230-1","title":"Geological uncertainty and effects of depositional sequence on improved oil recovery processes","year":2016,"lang":"en","type":"article","venue":"Journal of Petroleum Exploration and Production Technology","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Virtual Materials Group (Canada); University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; CMG Reservoir Simulation Foundation","keywords":"Offshore geotechnical engineering; Enhanced oil recovery; Petroleum engineering; Reservoir simulation; Permeability (electromagnetism); Tracing; Geology; Hydrogeology; Sedimentary depositional environment; Soil science; Computer science; Geotechnical engineering; Geomorphology","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":[0.0001618553,0.0001065704,0.0001966323,0.0003380314,0.00003364293,0.000009167961,0.00006318563,0.0001413875,0.00000359979],"category_scores_gemma":[0.0005927155,0.00007324096,0.00002305667,0.0001727304,0.0001325097,0.000452081,0.00001462064,0.0001604592,7.706962e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000569336,"about_ca_system_score_gemma":0.00002971942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.659913e-7,"about_ca_topic_score_gemma":0.000005096315,"domain_scores_codex":[0.9993305,0.00002659988,0.0003014396,0.0001348745,0.000105941,0.0001006188],"domain_scores_gemma":[0.999373,0.0001023151,0.0001920396,0.00009248061,0.000209373,0.00003077205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000167627,0.00004322244,0.000148006,0.0002845865,0.00003144604,0.000004559792,0.00003174357,0.0008954656,0.7088324,0.0004840331,0.0001495845,0.2889273],"study_design_scores_gemma":[0.0003884442,0.001748665,0.0001397996,0.0003518429,0.00001805579,0.0002180683,0.00004267472,0.0002141194,0.9759086,0.02017533,0.0006774575,0.0001169935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637709,0.001105298,0.03043046,0.003997717,0.0003765665,0.00005780855,0.000003043136,0.0001807556,0.00007749172],"genre_scores_gemma":[0.9866638,0.01029579,0.002825673,0.00002388861,0.0000905259,0.00002151506,7.227538e-7,0.000009734277,0.00006839805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2888103,"threshold_uncertainty_score":0.298668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009228413446823945,"score_gpt":0.2201727054899023,"score_spread":0.2109442920430784,"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."}}