{"id":"W2918576707","doi":"10.3968/10614","title":"Prediction Modeling for Combination Drive Reservoir Performance","year":2018,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Aquifer; Relative permeability; Permeability (electromagnetism); Reservoir modeling; Saturation (graph theory); Reservoir simulation; Oil in place; Reservoir engineering; Oil field; Enhanced oil recovery; Geology; Petroleum reservoir; Environmental science; Geotechnical engineering; Groundwater; Petroleum; Chemistry; Porosity; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002719982,0.0005239085,0.0004406989,0.0004132505,0.0003121084,0.0005857741,0.0007200193,0.0005813094,0.00114554],"category_scores_gemma":[0.0006246665,0.0003058938,0.0005024954,0.0003514755,0.0002213077,0.0006267331,0.0004244251,0.0004533092,0.0001698058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008632969,"about_ca_system_score_gemma":0.001039763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03153463,"about_ca_topic_score_gemma":0.01803352,"domain_scores_codex":[0.9998688,0.00001899042,0.000008330216,0.00003499718,0.00004133916,0.00002753163],"domain_scores_gemma":[0.9997635,0.00008301612,0.00003527915,0.00001511145,0.00009144975,0.00001168024],"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":[0.00001760848,0.00001878812,0.00212399,0.00001418829,0.000007490586,0.0000344775,0.00002104394,0.9912232,0.001633732,0.0002399914,0.00009914471,0.004566247],"study_design_scores_gemma":[0.000001152503,0.00000701347,0.0002780748,7.539666e-7,0.000002236314,0.000002830481,0.000003732443,0.9990847,0.0005033409,0.00004559874,0.00006865645,0.000001834245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8202657,0.0001893391,0.1696347,0.0001554801,0.00002213255,0.00007093744,0.0006330308,0.0008293202,0.008199297],"genre_scores_gemma":[0.9929487,0.00006382,0.005199962,0.000005955049,0.000002170499,0.00003316965,0.0001629915,0.00001866886,0.001564718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03153463,"threshold_uncertainty_score":0.06270212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03696098963237836,"score_gpt":0.2803123133054396,"score_spread":0.2433513236730612,"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."}}