{"id":"W2785148996","doi":"10.3968/9683","title":"Uncertainty Analysis of Smart Waterflood Recovery Performance in Clastic Reservoirs","year":2017,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Enhanced oil recovery; Scale (ratio); Field (mathematics); Oil field; Process (computing); Environmental science; Computer science; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003688108,0.0001142061,0.0002621521,0.00046086,0.00006371217,0.00003708334,0.0001245546,0.00004670125,0.000008678966],"category_scores_gemma":[0.00007045924,0.0001102378,0.00002192659,0.0002039519,0.00002587514,0.0008407568,0.00003241989,0.00009790406,0.000001981595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007356574,"about_ca_system_score_gemma":0.0000178838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000861247,"about_ca_topic_score_gemma":0.0006279974,"domain_scores_codex":[0.9991431,0.00002483867,0.0003806937,0.0001517674,0.0001418356,0.000157723],"domain_scores_gemma":[0.9995867,0.00006410812,0.00006177992,0.0002236645,0.00002715826,0.00003657039],"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":[0.00002918184,0.000009839375,0.0736159,0.00006311866,0.00003080102,0.000001107808,0.0003628639,0.9153066,0.00003586299,0.0000251425,0.000001121364,0.01051843],"study_design_scores_gemma":[0.0004712539,0.00002400464,0.1196735,0.00006382018,0.000009743657,1.653862e-7,0.0001040052,0.8759215,0.0009381349,0.00007521121,0.0025852,0.0001334545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255874,0.0005363019,0.07257871,0.0000291091,0.0002105987,0.00005910302,0.000002066431,0.00003499537,0.0009617371],"genre_scores_gemma":[0.987495,0.002906127,0.009472081,0.00000352107,0.000008485219,0.00003703049,0.00001962149,0.000008933702,0.00004918934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06310663,"threshold_uncertainty_score":0.4495367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364732589542886,"score_gpt":0.2764254010828497,"score_spread":0.2527780751874209,"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."}}